Consultant en Cybersécurité – Compliance, Risk &amp; AI Governance F/H at Devoteam

Senior

Job Description

What’s the Role: This role focuses on enabling the secure adoption of AI, machine learning, and generative AI capabilities by designing and implementing scalable security controls across the full AI lifecycle, while supporting the development of secure AI platform architectures and applications. It involves embedding guardrails to manage risks such as data leakage and model vulnerabilities, and creating standards, runbooks, and reference patterns to help engineering teams deliver secure AI solutions, combining expertise across security engineering, software development, cloud platforms, and automation to ensure robust and compliant AI systems. Key Responsibilities: * Provide SME security consultancy to guide product, platform, and engineering teams in delivering secure AI solutions aligned to enterprise security strategy and risk appetite. * Design and implement secure MLOps/LLMOps patterns, including model onboarding, CI/CD controls, environment segregation, secrets management, and least-privilege access. * Establish and embed guardrails for responsible AI, covering data protection, PII handling, content filtering, monitoring, governance, and auditability. * Partner with development and product teams to identify security risks, capture requirements, and provide practical remediation guidance. * Develop and maintain security processes, tooling, and reference materials such as patterns, playbooks, and templates to support consistent adoption. * Collaborate with operational and incident response teams to improve detection, response, and resilience for AI-related threats across platforms and applications. What do I need? * Hands-on experience in security engineering across application, cloud, platform, or DevSecOps environments, with delivery of security controls in complex enterprise settings. * Experience securing AI/ML or GenAI systems, including threat modelling and understanding of risks such as prompt injection, data leakage, model extraction/inversion, poisoning, and supply chain vulnerabilities. * Relevant security certifications (e.g. CISSP, CCSP, GIAC) or equivalent demonstrated capability. * Strong understanding of secure MLOps/LLMOps practices, including CI/CD, model registries, artifact integrity, policy-as-code, and environment controls. * Experience with cloud and container security, LLM application architectures (RAG, vector databases, prompt orchestration), and data security controls such as encryption, key management, and data protection. * Ability to perform incident analysis, troubleshooting, and root cause analysis, including support for AI-related security events, along with strong communication and stakeholder engagement skills. Why join us? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: * Special offers on banking products and discounts from top brands, including generous employee only mortgage rates! * Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. * Tailored learning and development opportunities to help your grow your career within the bank. * Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives. Create your future today To get started, simply click on the APPLY or APPLY NOW button We’re all about creating a supportive and inclusive community. We welcome everyone no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website [https://www.westpac.com.au/about-westpac/inclusion-and-diversity/Inclusion-means-everyone-matters/disability-and-accessibility/].

Skills

AI Security Engineer - Mid-Atlantic region (Remote in VA, MD, PA, NC, DE, NJ, or DC)

GuidePoint Security

Full Time

1 day ago

Worldwide

Senior

Python

AWS

API

Job Description

GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk. General Description GuidePoint Security is seeking a skilled AI Security Engineer to join our growing AI Security Services team. You will be assisting customers in the design, implementation, security, and operational management of generative AI security solutions. You will work closely with peers across multiple domains including AppSec, Cloud Security, and Vulnerability Management to deliver holistic and secure solutions adhering to industry best practices. This role offers the exciting opportunity to contribute to our growing AI security practice. Roles and Responsibilities AI Security Architecture & Assessment: Advise on and assess the security posture of AI/ML systems, including LLMs, GenAI pipelines, and model serving infrastructure — identifying vulnerabilities, attack surfaces, and gaps against industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS). Threat Modeling for AI Systems: Lead threat modeling exercises specific to AI workloads, covering adversarial inputs, prompt injection, model inversion, data poisoning, and supply chain risks across SaaS, self-hosted, and local AI deployments. Secure AI Integration Guidance: Advise internal teams on securely integrating SaaS AI services and APIs (e.g., OpenAI, Azure OpenAI, Bedrock) into enterprise applications, including safe handling of credentials, outputs, and user data. Data Security & Privacy Controls: Evaluate and recommend controls for data ingestion pipelines, RAG architectures, and vector databases to prevent unauthorized data exposure, leakage through model outputs, or non-compliant data processing. Collaboration & Stakeholder Engagement: Serve as a trusted security advisor bridging business stakeholders, AI/ML engineers, IT operations, and information security teams on all matters related to AI risk and security. Stay Current on AI Threat Landscape: Continuously track emerging AI security research, adversarial techniques, regulatory developments, and vendor security advisories to keep client guidance relevant and proactive. Security Documentation & Standards: Produce and maintain security architecture documentation, risk assessments, control frameworks, and guidelines tailored to the organization's AI environment. Strategic AI Security Roadmap: Contribute to the development of a long-term AI security strategy, including prioritized remediation roadmaps, capability maturity assessments, and investment recommendations. Security Awareness & Education: Develop and deliver training and awareness content for technical and non-technical stakeholders on AI-specific risks, responsible AI usage, and secure development practices for AI-powered applications. Required Experience 5+ years of experience in security engineering with a significant focus on cloud security and/or AppSec Hands-on experience implementing, managing, securing, and supporting Agentic AI solutions within an enterprise context Familiarity with major cloud service provider AI-focused services such as AWS Bedrock, AWS SageMaker, Azure AI Foundry, or Google Vertex Proficiency in at least one relevant programming language, preferably Python Solid understanding of generative AI concepts, Large Language Models (LLMs), context engineering, agentic tool usage, and foundational AI/ML principles Deep knowledge and real operational experience in the usage of Agentic Coding assistants like Claude Code, Open Code, Cursor, or Codex Strong written and oral communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences Demonstrated experience applying security principles to AI implementations, including data protection, access controls, and threat modeling for AI systems Understanding of AI-specific security challenges including prompt injection, data poisoning, supply chain security, and model extraction attacks Preferred Qualifications Certifications such as: AWS Certified AI Practitioner/AWS Certified Machine Learning Engineer Azure AI Engineer Associate Claude Certified Architect Understanding or experience with model fine-tuning techniques Familiarity with red teaming of agentic systems Experience with policy as code languages like Cedar or Rego and Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, OpenTofu, or equivalent technologies Experience designing and implementing agentic AI architectures that balance security and autonomy Familiarity with MCP client/server architecture vs. agentic skills and the associated security risks of each We use Greenhouse Software as our applicant tracking system and Zoom Scheduler for HR screen request scheduling. At times, your email may block our communication with you. Please be sure to check your SPAM folder so that you don't miss updates on your application. Why GuidePoint? GuidePoint Security is a rapidly growing, profitable, privately-held value added reseller that focuses exclusively on Information Security. Since its inception in 2011, GuidePoint has grown to over 1,200 employees, established strategic partnerships with leading security vendors, and serves as a trusted advisor to more than 6,200 customers. Firmly-defined core values drive all aspects of the business, which have been paramount to the company’s success and establishment of an enjoyable workplace atmosphere. At GuidePoint, your colleagues are knowledgeable, skilled, and experienced and will seek to collaborate and provide mentorship and guidance at every opportunity. This is a unique and rare opportunity to grow your career along with one of the fastest growing companies in the nation. Some added perks…. Remote workforce primarily (U.S. based only, some travel may be required for certain positions, working on-site may be required for Federal positions) Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans (spouse/children/family) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans (spouse/children/family). If you choose the High Deductible / HSA plan, GPS will contribute in 4 equal quarterly installments: ($850 per EE annually / $1750 per family annually (includes spouse/children/family options) Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans 12 corporate holidays and a Flexible Time Off (FTO) program Healthy mobile phone and home internet allowance Eligibility for retirement plan after 2 months at open enrollment Pet Benefit Option

Benefits

Dental Insurance
Remote Work
Retirement Plan

Skills

Python AWS API

AI Governance & Explainability Engineer

Amalgamated Bank of NY

Full Time

1 day ago

United States

Senior

Python

AWS

Git

Job Description

DEPARTMENT: Data Insights and Innovation JOB TITLE: AI Governance & Explainability Engineer JOB CODE: AIGEE REPORTS TO: Data Governance Lead FLSA STATUS: Exempt EMPLOYMENT TYPE: Full-Time JOB PURPOSE: This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion). The AI Governance & Explainability Engineer is a hands‑on technical role within the Data Governance team responsible for ensuring AI, GenAI, and Agentic AI solutions are explainable, governable, auditable, and production‑ready. This role embeds governance directly into the AI technology stack, translating policies, regulatory expectations, and risk requirements into technical controls, automated checks, standardized artifacts, and release gates across the AI lifecycle. The role combines AI/ML engineering depth, GenAI & Agentic AI design knowledge, and governance discipline to ensure AI solutions deliver explainability, can be trusted, defended, and audited in production, particularly within the Microsoft Fabric and Purview ecosystem. DEPARTMENTAL EXPECTATION OF EMPLOYEE Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model * Acts as a role model within and outside AF. * Performs duties as workload necessitates. * Maintains a positive and respectful attitude. * Communicates regularly with the departmental leader about department issues. * Demonstrates flexible and efficient time management and ability to prioritize workload. * Consistently reports to work on time, prepared to perform duties of the position. * Meets Department productivity standards. ESSENTIAL DUTIES AND RESPONSIBILITIES * AI Governance by Design Engineering (Execution Focus not Policy writing) * Embed governance, explainability, and risk controls directly into AI, GenAI, and Agentic AI workflows * Translate enterprise AI policies, standards, and Responsible AI principles into: * Technical guardrails * Automated checks * Required evidence artifacts * CI/CD release gates * Implement governance as code and automation, eliminating reliance on manual or after-the-fact reviews. * AI Governance, Explainability & Human Oversight * Advise solution teams on explainability requirements for automated, semi-automated, and decision-support AI systems. * Ensure human-in-the-loop (HITL) controls are implemented where required by risk level or use case. * Define, generate, and manage explainability outputs that are: * Appropriate to the end-user or reviewer persona * Aligned to the decision context and operational use * Document explainability assumptions, limitations, and residual risk as governance evidence. * Metadata, Lineage & Governance Evidence Management * Operationalize AI Governance in Microsoft Purview by registering and maintaining: * AI models, features, prompts, agents, notebooks, and pipelines * Maintain end to end lineage across: * Data → features → models → inferences → outputs * Apply ownership, stewardship, sensitivity, and classification metadata. * Ensure governance is maintained: * Discoverable * Versioned * Traceable * Audit-defensible * GenAI & Agentic AI Governance Enablement * Apply governance patterns to LLMs, RAG, and Agentic AI solutions * Ensure governance traceability when synthetic data or augmented data is used for training, testing, or evaluation. * Implement Agentic AI lifecycle governance, including: * Observability of agent actions, deviations, and failures * Oversight of planning, reflection, and tool-use behavior * Controls on autonomous vs. constrained operation * Enable GenAI explainability, including: * Retrieval transparency for RAG (sources, relevance) * Inference context documentation * Decision trace generation where applicable * Explainability, Interpretability & Model Risk Controls * Own and operate explainability capabilities used for governance, audit, and trust. * Implement and operationalize techniques such as: * Feature attribution (e.g., SHAP or equivalent) * Driver and proxy detection * Global and local model explanations * Identify bias signals, risk indicators, and explainability gaps. * Store and manage explainability and observability outputs as governed, audit-ready artifacts. * Support audit, compliance, and risk review activities with defensible evidence. * Monitoring, Observability & Incident Readiness * Define and implement AI monitoring metrics, alerts, and thresholds for: * Performance degradation * Bias and ethical risk indicators * Drift and instability * Partner with MLOps and platform teams to integrate monitoring into production pipelines. * Support AI incident response and post-incident reviews with governance evidence. * Ensure all observability outputs are retained, traceable, and audit‑ready. * Governance Checkpoints & Release Gating * Define and enforce governance checkpoints within CI/CD pipelines (DEV-> TEST/UAT -> PROD). * Implement automated release checks for: * Required documentation and evidence artifacts * Explainability artifacts * Monitoring configuration * Data usage, lineage completeness, and medallion-layer alignment * Partner with Engineering and MLOps teams on promotion decisions while owning governance readiness, not platform approval. QUALIFICATIONS Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. * Minimum 7 years of experience in AI/ML engineering, data science, GenAI/LLMs, NLP, Agentic AI, data governance, or related roles. * Demonstrated experience operationalizing AI governance, explainability, and risk controls in production environments. * Deep understanding of Agentic AI architectures and lifecycle considerations. Technical Skills * Strong proficiency in Python with hands‑on experience in AI/ML engineering workflows. * Working knowledge of Microsoft Fabric (Lakehouse, OneLake, notebooks, pipelines). * Experience with Microsoft Purview (catalog, lineage, classification, ownership). Experience with AI/ML and GenAI tooling, including: * Azure AI Foundry / Azure ML * ML explainability libraries (e.g., SHAP) * LLMs, RAG architecture, and prompt engineering * Familiarity with Agentic AI frameworks and patterns (e.g., tool use, planning, reflection). * Experience integrating governance controls into CI/CD pipelines using GitHub or Azure DevOps. * Understanding of cloud platforms (Azure preferred; AWS/GCP a plus * Experience producing audit‑ready technical documentation and evidence artifacts. * Familiarity with reporting and visualization tools (e.g., Power BI) for governance and monitoring views. Soft Skills * Strong analytical and problem‑solving abilities, particularly in risk‑based decision‑making. * Excellent written and verbal communication skills, with the ability to translate technical details into governance‑relevant insights. * Ability to lead governance execution initiatives and influence cross‑functional teams without direct authority. * Strong organizational skills with attention to detail and audit readiness. * Auto insurance or claims industry experience preferred. Preferred Qualifications * Experience evaluating or governing model training approaches (e.g., NLP, generative models) without owning full training pipelines. * Familiarity with synthetic data governance (generation methods, limitations, risk documentation). * Experience with additional AI platforms (Databricks AI, Snowflake Cortex, Dataiku). * Experience in regulated industries (insurance, financial services, healthcare). AMERICANS WITH DISABILITY SPECIFICATIONS PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch, or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. WORK ENVIRONMENT [Standard language tied to each job description] This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Skills

Python AWS Git

Senior AI Security Engineer

Obsidian Security

Full Time

GBP 91k - GBP 106k

2 days ago

United States

Senior

Python

SQL

API

Job Description

Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world’s largest Fortune 1000 and Global 2000 companies. Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they’re transforming how SaaS is secured. With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time. With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness. About the Role This is a security-depth role on our Manchester engineering team. We collect rich telemetry from hundreds of SaaS and AI platforms — and we're looking for someone who can look at that data and ask questions no one has asked before. Your core contribution is security insight: understanding how SaaS and AI platforms are built, how they're abused, and how the signals we collect can be used in novel ways to solve real customer security problems. You'll work alongside a team of data engineers, advising on what's worth detecting and building prototype approaches to prove it out. You need to be a competent engineer — comfortable writing SQL, Python, and working with large datasets — not at the level of a dedicated data engineer, but independently capable. Your edge is security knowledge and creative thinking; the data skills are the table stakes that let you exercise it. What you'll do Develop deep expertise in how major SaaS and AI platforms are structured, how they handle identity and access, and where security risk concentrates — then translate that into detection and posture logic for our product. Look across the telemetry we collect and identify novel ways to use it: new signals, new correlations, new approaches to catching misconfigurations or risky behaviour that existing tools miss. Advise the engineering team on what security controls matter and why — acting as the security compass that helps the team prioritise what to build. Prototype new detection approaches in SQL and Python to validate ideas before they're productised. Stay close to the attacker perspective — tracking how threats against SaaS and AI platforms evolve and ensuring our coverage stays ahead of them. Debug security-related issues in customer environments, bringing both data fluency and security judgment to ambiguous problems. What we're looking for Requirements: 4+ years in cybersecurity, with a focus on SaaS platforms, cloud security, identity systems, or application security. A track record of original thinking — you've found things other people missed, whether in research, red teaming, bug bounty, or product security work. Strong understanding of how SaaS platforms (Google Workspace, Microsoft 365, Salesforce, Okta, or similar) work under the hood: API structures, permission models, authentication flows. Solid SQL and Python skills — you won't be the one building the pipelines, but you need to be able to query large datasets, write detection logic, and prototype ideas end-to-end without leaning on the data engineers to do it for you. Ability to communicate complex security concepts clearly to an engineering audience. Nice to Have Experience with AI/LLM platforms (ChatGPT Enterprise, Copilot, Gemini, Claude, etc.) from a security perspective. Familiarity with dbt, Clickhouse, or Databricks. Experience working in a product security or security research function at a security vendor. Published research, CVEs, conference talks, or bug bounty work demonstrating independent security thinking. Why Join Us Work on one of the most forward-looking problems in enterprise security — SaaS and AI platform risk is largely unsolved and growing fast. Have a direct influence on what Obsidian detects and how — your security insight shapes the product roadmap. Learn from and contribute to a team that includes some of the people who defined endpoint and identity security. Ideas move fast here — you'll go from concept to customer impact in weeks, not quarters. Work for a Silicon Valley-headquartered company without leaving Manchester — your security insights will ship into a product protecting some of the world's largest organisations. Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact [email protected] Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy. Base Salary Range £91,000—£106,000 GBP

Benefits

Equity
Family Leave
Paid Time Off
Professional Development

Skills

Python SQL API

Senior Manager - AI Assurance

Deloitte

Full Time

2 days ago

United States

Executive

AWS

Git

API

Job Description

Company Description At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek. Harnessing the talent of 457 000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems. Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting Services business, which is made up of Strategy, Risk & Transactions (SR&T) and Technology & Transformation (T&T). Job Description Deloitte South Africa is seeking an experienced and visionary leader to build and expand our AI Assurance capability within the Technology Assurance portfolio. This role is ideal for a senior professional with deep expertise in AI governance, risk, and controls assurance — and a strong track record in leading teams, engaging senior stakeholders, and driving market growth. You will be responsible for shaping Deloitte’s AI assurance offering, establishing market presence, overseeing the delivery of high-quality engagements, and playing a pivotal role in helping organisations adopt AI safely, responsibly, and in alignment with emerging regulatory expectations. Market Leadership & Growth Drive business development efforts to grow Deloitte’s AI Assurance practice in South Africa and support broader Africa Member Firm needs. Originate and shape new AI governance, risk, and assurance opportunities across industries. Build and maintain strong executive‑level relationships with C‑suite leaders, boards, audit committees, and risk stakeholders. Represent Deloitte as a market thought leader on AI governance, responsible AI, and assurance over AI systems and models. Contribute to go‑to‑market strategies, thought leadership, and industry engagements focused on safe and trustworthy AI adoption. Service Delivery & Innovation Lead complex assurance engagements across AI governance, AI risk management, AI controls assurance, model risk management, and responsible/ethical AI. Conduct readiness assessments and assurance over regulatory‑aligned frameworks (e.g., EU AI Act‑aligned controls, local regulatory expectations). Oversee design and execution of assurance methodologies for AI systems, including controls testing, governance evaluation, documentation review, and risk assessments. Ensure that assurance solutions remain aligned with leading standards and frameworks such as: ISO/IEC 42001 (AI Management System) NIST AI Risk Management Framework King IV / emerging King V SOC 1 / SOC 2 / ISAE 3402 where applicable Coordinate closely with technology implementation teams (who handle design/build work) to ensure clear separation of assurance and implementation services. Deliver high‑quality, risk-based, and value-driven outcomes for clients that address trust, transparency, fairness, robustness, and accountability in AI systems. Bring innovative thinking around the use of automation and analytics to enhance assurance delivery. Team Leadership & Development Build, mentor, and lead a growing AI Assurance team, developing capability from a lean foundation into a scalable, high-performing unit. Foster a culture of excellence, inclusion, curiosity, and continuous learning — with a focus on emerging AI risk and governance skills. Collaborate with regional and global Deloitte teams to leverage leading practices, methodologies, and accelerators. Provide coaching, performance management, and technical guidance to practitioners at all levels Qualifications 12+ years of experience in technology assurance, risk, governance, or related advisory fields — with at least several years focused on AI, data, advanced analytics, or model risk. Proven track record in business development and senior client relationship management. Strong understanding of AI governance, risk, and control frameworks, with familiarity (or practical exposure) to: ISO/IEC 42001 NIST AI RMF Responsible AI principles King IV Cloud and AI platform risks (Azure/OpenAI, AWS, GCP) SOC / ISAE assurance standards Hands‑on knowledge of AI/ML concepts sufficient to contextualise risk and assurance activities (not implementation-focused). Professional certifications such as CISA, CRISC, CDPSE, CISSP, or AI‑focused governance/risk certifications are advantageous. Prior experience in a Big 4 or similar professional services environment is preferred. Strong stakeholder engagement, communication, and leadership capabilities. Additional Information Leadership Capabilities Living our Purpose - Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make. Talent development - Develops high-performing people and teams through challenging and meaningful opportunities. Performance drive - Delivers exceptional client service; maximizes results and drives high performance from people while fostering collaboration across businesses and borders. Influence - Influences clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people. Strategic direction - Understands key objectives for clients and Deloitte, aligns people to objectives and sets priorities and direction. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: Upfront Payment Requests: Deloitte will never ask for any upfront payment for background checks, job training, or supplies. Requests for Personal Information: Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. Unprofessional Communication: Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.

Benefits

Equity

Skills

AWS Git API

Senior Manager - AI Assurance

Deloitte

Full Time

2 days ago

United States

Executive

AWS

Git

API

Job Description

Company Description At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek. Harnessing the talent of 457 000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems. Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting Services business, which is made up of Strategy, Risk & Transactions (SR&T) and Technology & Transformation (T&T). Job Description Deloitte South Africa is seeking an experienced and visionary leader to build and expand our AI Assurance capability within the Technology Assurance portfolio. This role is ideal for a senior professional with deep expertise in AI governance, risk, and controls assurance — and a strong track record in leading teams, engaging senior stakeholders, and driving market growth. You will be responsible for shaping Deloitte’s AI assurance offering, establishing market presence, overseeing the delivery of high-quality engagements, and playing a pivotal role in helping organisations adopt AI safely, responsibly, and in alignment with emerging regulatory expectations. Market Leadership & Growth Drive business development efforts to grow Deloitte’s AI Assurance practice in South Africa and support broader Africa Member Firm needs. Originate and shape new AI governance, risk, and assurance opportunities across industries. Build and maintain strong executive‑level relationships with C‑suite leaders, boards, audit committees, and risk stakeholders. Represent Deloitte as a market thought leader on AI governance, responsible AI, and assurance over AI systems and models. Contribute to go‑to‑market strategies, thought leadership, and industry engagements focused on safe and trustworthy AI adoption. Service Delivery & Innovation Lead complex assurance engagements across AI governance, AI risk management, AI controls assurance, model risk management, and responsible/ethical AI. Conduct readiness assessments and assurance over regulatory‑aligned frameworks (e.g., EU AI Act‑aligned controls, local regulatory expectations). Oversee design and execution of assurance methodologies for AI systems, including controls testing, governance evaluation, documentation review, and risk assessments. Ensure that assurance solutions remain aligned with leading standards and frameworks such as: ISO/IEC 42001 (AI Management System) NIST AI Risk Management Framework King IV / emerging King V SOC 1 / SOC 2 / ISAE 3402 where applicable Coordinate closely with technology implementation teams (who handle design/build work) to ensure clear separation of assurance and implementation services. Deliver high‑quality, risk-based, and value-driven outcomes for clients that address trust, transparency, fairness, robustness, and accountability in AI systems. Bring innovative thinking around the use of automation and analytics to enhance assurance delivery. Team Leadership & Development Build, mentor, and lead a growing AI Assurance team, developing capability from a lean foundation into a scalable, high-performing unit. Foster a culture of excellence, inclusion, curiosity, and continuous learning — with a focus on emerging AI risk and governance skills. Collaborate with regional and global Deloitte teams to leverage leading practices, methodologies, and accelerators. Provide coaching, performance management, and technical guidance to practitioners at all levels Qualifications 12+ years of experience in technology assurance, risk, governance, or related advisory fields — with at least several years focused on AI, data, advanced analytics, or model risk. Proven track record in business development and senior client relationship management. Strong understanding of AI governance, risk, and control frameworks, with familiarity (or practical exposure) to: ISO/IEC 42001 NIST AI RMF Responsible AI principles King IV Cloud and AI platform risks (Azure/OpenAI, AWS, GCP) SOC / ISAE assurance standards Hands‑on knowledge of AI/ML concepts sufficient to contextualise risk and assurance activities (not implementation-focused). Professional certifications such as CISA, CRISC, CDPSE, CISSP, or AI‑focused governance/risk certifications are advantageous. Prior experience in a Big 4 or similar professional services environment is preferred. Strong stakeholder engagement, communication, and leadership capabilities. Additional Information Leadership Capabilities Living our Purpose - Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make. Talent development - Develops high-performing people and teams through challenging and meaningful opportunities. Performance drive - Delivers exceptional client service; maximizes results and drives high performance from people while fostering collaboration across businesses and borders. Influence - Influences clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people. Strategic direction - Understands key objectives for clients and Deloitte, aligns people to objectives and sets priorities and direction. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: Upfront Payment Requests: Deloitte will never ask for any upfront payment for background checks, job training, or supplies. Requests for Personal Information: Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. Unprofessional Communication: Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.

Benefits

Equity

Skills

AWS Git API

Program Manager Sr, AI Governance

Full Time

CAD 92.6k - CAD 142.6k

2 days ago

United States

Senior

Git

API

Job Description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. About the opportunity As a key member of Dayforce’s AI Governance team, the AI Governance Program Manager Senior plays a critical role in advancing Dayforce’s responsible AI and AI governance practices. This role supports the design, implementation, and continuous improvement of governance frameworks that enable compliant, ethical, and trustworthy use of AI across the organization. The AI Governance Program Manager Senior partners closely with Legal, Privacy, Product, Engineering, Security, and Risk teams to assess AI and data-related risks, support regulatory compliance efforts, and operationalize governance controls across Dayforce’s AI ecosystem. This individual combines strong analytical skills, governance expertise, and technical understanding of AI systems to help ensure Dayforce’s AI solutions align with evolving regulatory requirements, industry standards, and internal governance objectives. This role reports to the leader of AI Governance. What you'll get to do Interpret emerging AI governance regulations, standards, and industry frameworks, and apply them to real-world AI use cases across the organization. Support AI governance compliance initiatives by identifying gaps, recommending remediation activities, and assisting with internal and external audits. Conduct and own risk assessments for complex AI systems, including identifying systemic risks, monitoring model bias trends, and evaluating mitigation strategies. Participate in AI model and algorithm reviews to assess governance, compliance, ethical, and operational risk considerations. Contribute to the development, implementation, and maintenance of AI governance frameworks, controls, standards, and operational processes. Map governance controls to applicable regulatory requirements and industry standards such as ISO, NIST, and emerging AI regulatory frameworks. Lead components of governance framework reviews and drive continuous improvements to governance processes and documentation. Partner cross-functionally with Product, Engineering, Data Science, Security, Legal, Privacy, and Enterprise Risk teams to operationalize responsible AI practices. Develop governance reports, presentations, risk summaries, and technical documentation tailored to both technical and non-technical audiences. Support governance committees, audit activities, and regulatory inquiries with minimal oversight. Manage governance initiatives end-to-end, including timelines, dependencies, stakeholder coordination, and delivery accountability. Evaluate AI and data architecture considerations to identify governance, compliance, privacy, and operational risks associated with AI systems. Support metadata governance, model documentation, model inventory management, and AI lifecycle governance activities. Anticipate business impacts of governance decisions and communicate recommendations clearly and effectively to stakeholders across the organization. Help foster a culture of responsible AI, ethical data usage, and continuous governance improvement across Dayforce. Skills and experience we value 5+ years of experience in AI governance, technology risk, data governance, compliance, privacy, cybersecurity, model risk management, or related fields. Post-secondary education certificate or university degree in Computer Science, Information Systems, Risk Management, Data Governance, Law, Business, or a related discipline required. IAPP certification preferred. Strong understanding of AI governance principles, model risk management concepts, and responsible AI practices. Familiarity with global AI and data regulations, frameworks, and standards including ISO, NIST AI RMF, EU AI Act, GDPR, and related governance requirements. Experience conducting risk assessments, control evaluations, or compliance reviews for AI, data, or technology systems. Understanding of AI/ML lifecycle concepts, model behavior evaluation, bias detection, performance monitoring, and governance implications of AI systems. Ability to interpret technical concepts and translate governance or compliance impacts for diverse audiences. Experience working cross-functionally with technical and business teams in a fast-paced environment. Strong analytical, critical thinking, and problem-solving skills with the ability to manage ambiguity and complex situations. Excellent written, verbal, and presentation communication skills, including the ability to influence stakeholders and facilitate governance discussions. Demonstrated project management and organizational skills, including managing multiple initiatives, timelines, and dependencies simultaneously. Experience drafting governance documentation, standards, procedures, reports, or audit artifacts. Ability to work independently while collaborating effectively across teams and functions. Experience working in a SaaS or cloud-based technology environment highly desirable. Familiarity with agile delivery environments and enterprise governance processes preferred. What’s in it for you Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage individuals to apply based on their passions. Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. This job posting is for an existing vacancy Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position. About the Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process Pour consulter cette offre d'emploi en français, veuillez utiliser le lien: https://jobs.dayforcehcm.com/fr-CA/mydayforce/alljobs

Skills

Git API

Program Manager Sr, AI Governance

Full Time

$95.1k - $169.8k

2 days ago

United States

Senior

Git

API

Job Description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. About the opportunity As a key member of Dayforce’s AI Governance team, the AI Governance Program Manager Senior plays a critical role in advancing Dayforce’s responsible AI and AI governance practices. This role supports the design, implementation, and continuous improvement of governance frameworks that enable compliant, ethical, and trustworthy use of AI across the organization. The AI Governance Program Manager Senior partners closely with Legal, Privacy, Product, Engineering, Security, and Risk teams to assess AI and data-related risks, support regulatory compliance efforts, and operationalize governance controls across Dayforce’s AI ecosystem. This individual combines strong analytical skills, governance expertise, and technical understanding of AI systems to help ensure Dayforce’s AI solutions align with evolving regulatory requirements, industry standards, and internal governance objectives. This role reports to the leader of AI Governance. What you'll get to do Interpret emerging AI governance regulations, standards, and industry frameworks, and apply them to real-world AI use cases across the organization. Support AI governance compliance initiatives by identifying gaps, recommending remediation activities, and assisting with internal and external audits. Conduct and own risk assessments for complex AI systems, including identifying systemic risks, monitoring model bias trends, and evaluating mitigation strategies. Participate in AI model and algorithm reviews to assess governance, compliance, ethical, and operational risk considerations. Contribute to the development, implementation, and maintenance of AI governance frameworks, controls, standards, and operational processes. Map governance controls to applicable regulatory requirements and industry standards such as ISO, NIST, and emerging AI regulatory frameworks. Lead components of governance framework reviews and drive continuous improvements to governance processes and documentation. Partner cross-functionally with Product, Engineering, Data Science, Security, Legal, Privacy, and Enterprise Risk teams to operationalize responsible AI practices. Develop governance reports, presentations, risk summaries, and technical documentation tailored to both technical and non-technical audiences. Support governance committees, audit activities, and regulatory inquiries with minimal oversight. Manage governance initiatives end-to-end, including timelines, dependencies, stakeholder coordination, and delivery accountability. Evaluate AI and data architecture considerations to identify governance, compliance, privacy, and operational risks associated with AI systems. Support metadata governance, model documentation, model inventory management, and AI lifecycle governance activities. Anticipate business impacts of governance decisions and communicate recommendations clearly and effectively to stakeholders across the organization. Help foster a culture of responsible AI, ethical data usage, and continuous governance improvement across Dayforce. Skills and experience we value 5+ years of experience in AI governance, technology risk, data governance, compliance, privacy, cybersecurity, model risk management, or related fields. Post-secondary education certificate or university degree in Computer Science, Information Systems, Risk Management, Data Governance, Law, Business, or a related discipline required. IAPP certification preferred. Strong understanding of AI governance principles, model risk management concepts, and responsible AI practices. Familiarity with global AI and data regulations, frameworks, and standards including ISO, NIST AI RMF, EU AI Act, GDPR, and related governance requirements. Experience conducting risk assessments, control evaluations, or compliance reviews for AI, data, or technology systems. Understanding of AI/ML lifecycle concepts, model behavior evaluation, bias detection, performance monitoring, and governance implications of AI systems. Ability to interpret technical concepts and translate governance or compliance impacts for diverse audiences. Experience working cross-functionally with technical and business teams in a fast-paced environment. Strong analytical, critical thinking, and problem-solving skills with the ability to manage ambiguity and complex situations. Excellent written, verbal, and presentation communication skills, including the ability to influence stakeholders and facilitate governance discussions. Demonstrated project management and organizational skills, including managing multiple initiatives, timelines, and dependencies simultaneously. Experience drafting governance documentation, standards, procedures, reports, or audit artifacts. Ability to work independently while collaborating effectively across teams and functions. Experience working in a SaaS or cloud-based technology environment highly desirable. Familiarity with agile delivery environments and enterprise governance processes preferred. What’s in it for you Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage individuals to apply based on their passions. Dayforce employees and their families are eligible to participate in the following benefits programs: medical, dental, vison, and life insurance. Dayforce employees are also eligible to participate in a 401k plan (plus match) and a Global Employee Stock Purchase Plan. Employees also receive unlimited Time Away From Work (in lieu of accrued vacation time), 10 paid US holidays, up to 80 hours of paid sick time and 17 weeks of paid parental leave, subject to the terms of the applicable policy or program. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. About the Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process #LI-Remote

Benefits

Life Insurance
Parental Leave

Skills

Git API

Director, AI Policy and Strategic Funding

CompTIA Human Resources

Full Time

$124k - $140k

2 days ago

United States

Senior

Git

API

Job Description

Who We Are CompTIA is a leading voice and advocate for the $5 trillion global information technology ecosystem; and the estimated 75 million industry and tech professionals who design, implement, manage, and safeguard the technology that powers the world’s economy. Through education, training, certifications, philanthropy and market research, CompTIA promotes industry growth; the development of a highly skilled workforce and a commitment to creating an environment where innovation happens, and the opportunities and benefits made possible through technology are available to all. Scope Summary Reporting directly to the General Counsel, this individual serves as CompTIA's primary subject matter expert on AI-related legislation, regulation, and policy as it pertains to workforce training, technology competencies, and credentialing. The Director monitors and translates the rapidly evolving AI governance landscape into actionable intelligence and commercial opportunity for the organization. As a secondary function, this role also supports CompTIA partners in identifying and pursuing federal, state, and private funding opportunities aligned with workforce development and technology training priorities. This role requires deep policy fluency, analytical rigor, and the ability to translate complex regulatory developments into strategic and commercial insights. The Director will work cross-functionally with Sales, Marketing, and Product teams to identify and capitalize on opportunities created by the evolving AI policy environment. Essential Duties and Responsibilities AI Policy Intelligence & Commercialization Monitor and analyze federal and state AI legislation, executive orders, agency guidance (NIST, EEOC, FTC, DOL, etc.), and international regulatory developments (EU AI Act, etc.) as they relate to AI competencies, workforce training, and credentialing. Synthesize regulatory developments into actionable intelligence for internal stakeholders — translating policy signals into product, sales, and marketing implications. Partner with Product, Sales, and Marketing teams to identify opportunities to align CompTIA offerings (certifications, training, content) with emerging compliance requirements and government procurement priorities. Develop and maintain an internal AI policy tracker and regularly brief senior leadership on material developments. Represent CompTIA at relevant industry coalitions, working groups, and public comment processes. Strategic Funding & Grant Development Research, identify, and monitor federal, state, and private grant and funding opportunities relevant to CompTIA partners, with particular attention to workforce development, technology training, and digital skills initiatives. Serve as a ghostwriter and strategic advisor for CompTIA partners pursuing grant funding — developing compelling, compliant grant narratives, needs statements, budgets narratives, and supporting materials. Maintain a pipeline of active and prospective funding opportunities, tracking deadlines, eligibility requirements, and award cycles. Build and maintain relationships with program officers, agency staff, and foundation contacts to stay ahead of funding trends and priorities. Develop internal templates, toolkits, and best practice resources to scale grant support across the partner network. Track and report on grant outcomes, award rates, and partner feedback to continuously improve the program. Key Performance Metrics Successful ongoing analysis and mapping of material AI legislative, policy, and regulatory developments worldwide. Partner grant application success rate and total funding secured by partners supported through this role. Increased references and correlation between product marketing and regulatory frameworks. Skills and Qualifications Strong working knowledge of the federal and state policy landscape around AI, technology training, and workforce development — including familiarity with key regulatory bodies (NIST, EEOC, FTC, DOL) and international frameworks such as the EU AI Act. Ability to work cross-functionally and translate complex regulatory content into business-relevant insights for product, sales, and marketing stakeholders. Exceptional written communication skills — ability to synthesize policy developments into clear executive briefings, public comments, and partner-facing materials. Articulate public speaking skills. 3+ years of experience in public policy, government affairs, regulatory affairs, or a closely-related field. Experience supporting grant or funding pursuits — ideally in workforce development, education technology, or tech-adjacent nonprofit/association environments — is a plus. Education and/or Experience Bachelor's degree in public policy, political science, communications, law, or a related field. 6+ years of direct experience in related field and/or advanced degree Juris Doctor degree a plus. Why Join Us We're a team of driven, creative problem-solvers who are passionate about empowering people to realize their full potential. We foster a collaborative and inclusive culture where ideas are welcomed, growth is encouraged, and success is celebrated. We're not just looking for employees, we're looking for partners who share our vision and are eager to contribute to our purpose. If you're ready to unlock your potential and reach new heights, join us today. Our team works hard and we recognize the importance of taking care of our own. We offer our employees a comprehensive suite of benefit offerings including: Health, Dental, and Vision Insurance & FSA/HSA Plans Performance bonus up to 15% of base salary Unlimited PTO & 15 Paid Holidays Flexible Schedules & Summer Hours 12 weeks of Paid Parental Leave Sponsored Costco or Sam’s Membership 401K Retirement Plan with 6% company match Spot Bonuses for going above & beyond Tuition Reimbursement Home Office Allowance Wellness Reimbursement Student Loan Repayment Broadband Stipend Expected compensation based on experience and qualifications – $124,000 - $140,000 CompTIA seeks excellence through diversity in its staff. We prohibit discrimination based on race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, or marital status. CompTIA Careers Page

Benefits

Parental Leave
Performance Bonus
Retirement Plan
Tuition Reimbursement
Unlimited PTO

Skills

Git API

Director, AI Policy and Strategic Funding

CompTIA Human Resources

Full Time

$124k - $140k

2 days ago

United States

Senior

Git

API

Job Description

Who We Are CompTIA is a leading voice and advocate for the $5 trillion global information technology ecosystem; and the estimated 75 million industry and tech professionals who design, implement, manage, and safeguard the technology that powers the world’s economy. Through education, training, certifications, philanthropy and market research, CompTIA promotes industry growth; the development of a highly skilled workforce and a commitment to creating an environment where innovation happens, and the opportunities and benefits made possible through technology are available to all. Scope Summary Reporting directly to the General Counsel, this individual serves as CompTIA's primary subject matter expert on AI-related legislation, regulation, and policy as it pertains to workforce training, technology competencies, and credentialing. The Director monitors and translates the rapidly evolving AI governance landscape into actionable intelligence and commercial opportunity for the organization. As a secondary function, this role also supports CompTIA partners in identifying and pursuing federal, state, and private funding opportunities aligned with workforce development and technology training priorities. This role requires deep policy fluency, analytical rigor, and the ability to translate complex regulatory developments into strategic and commercial insights. The Director will work cross-functionally with Sales, Marketing, and Product teams to identify and capitalize on opportunities created by the evolving AI policy environment. Essential Duties and Responsibilities AI Policy Intelligence & Commercialization Monitor and analyze federal and state AI legislation, executive orders, agency guidance (NIST, EEOC, FTC, DOL, etc.), and international regulatory developments (EU AI Act, etc.) as they relate to AI competencies, workforce training, and credentialing. Synthesize regulatory developments into actionable intelligence for internal stakeholders — translating policy signals into product, sales, and marketing implications. Partner with Product, Sales, and Marketing teams to identify opportunities to align CompTIA offerings (certifications, training, content) with emerging compliance requirements and government procurement priorities. Develop and maintain an internal AI policy tracker and regularly brief senior leadership on material developments. Represent CompTIA at relevant industry coalitions, working groups, and public comment processes. Strategic Funding & Grant Development Research, identify, and monitor federal, state, and private grant and funding opportunities relevant to CompTIA partners, with particular attention to workforce development, technology training, and digital skills initiatives. Serve as a ghostwriter and strategic advisor for CompTIA partners pursuing grant funding — developing compelling, compliant grant narratives, needs statements, budgets narratives, and supporting materials. Maintain a pipeline of active and prospective funding opportunities, tracking deadlines, eligibility requirements, and award cycles. Build and maintain relationships with program officers, agency staff, and foundation contacts to stay ahead of funding trends and priorities. Develop internal templates, toolkits, and best practice resources to scale grant support across the partner network. Track and report on grant outcomes, award rates, and partner feedback to continuously improve the program. Key Performance Metrics Successful ongoing analysis and mapping of material AI legislative, policy, and regulatory developments worldwide. Partner grant application success rate and total funding secured by partners supported through this role. Increased references and correlation between product marketing and regulatory frameworks. Skills and Qualifications Strong working knowledge of the federal and state policy landscape around AI, technology training, and workforce development — including familiarity with key regulatory bodies (NIST, EEOC, FTC, DOL) and international frameworks such as the EU AI Act. Ability to work cross-functionally and translate complex regulatory content into business-relevant insights for product, sales, and marketing stakeholders. Exceptional written communication skills — ability to synthesize policy developments into clear executive briefings, public comments, and partner-facing materials. Articulate public speaking skills. 3+ years of experience in public policy, government affairs, regulatory affairs, or a closely-related field. Experience supporting grant or funding pursuits — ideally in workforce development, education technology, or tech-adjacent nonprofit/association environments — is a plus. Education and/or Experience Bachelor's degree in public policy, political science, communications, law, or a related field. 6+ years of direct experience in related field and/or advanced degree Juris Doctor degree a plus. Why Join Us We're a team of driven, creative problem-solvers who are passionate about empowering people to realize their full potential. We foster a collaborative and inclusive culture where ideas are welcomed, growth is encouraged, and success is celebrated. We're not just looking for employees, we're looking for partners who share our vision and are eager to contribute to our purpose. If you're ready to unlock your potential and reach new heights, join us today. Our team works hard and we recognize the importance of taking care of our own. We offer our employees a comprehensive suite of benefit offerings including: Health, Dental, and Vision Insurance & FSA/HSA Plans Performance bonus up to 15% of base salary Unlimited PTO & 15 Paid Holidays Flexible Schedules & Summer Hours 12 weeks of Paid Parental Leave Sponsored Costco or Sam’s Membership 401K Retirement Plan with 6% company match Spot Bonuses for going above & beyond Tuition Reimbursement Home Office Allowance Wellness Reimbursement Student Loan Repayment Broadband Stipend Expected compensation based on experience and qualifications – $124,000 - $140,000 CompTIA seeks excellence through diversity in its staff. We prohibit discrimination based on race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, or marital status. CompTIA Careers Page

Benefits

Parental Leave
Performance Bonus
Retirement Plan
Tuition Reimbursement
Unlimited PTO

Skills

Git API

Program Manager Sr, AI Governance

Full Time

$95.1k - $169.8k

2 days ago

United States

Senior

Git

API

Job Description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. About the opportunity As a key member of Dayforce’s AI Governance team, the AI Governance Program Manager Senior plays a critical role in advancing Dayforce’s responsible AI and AI governance practices. This role supports the design, implementation, and continuous improvement of governance frameworks that enable compliant, ethical, and trustworthy use of AI across the organization. The AI Governance Program Manager Senior partners closely with Legal, Privacy, Product, Engineering, Security, and Risk teams to assess AI and data-related risks, support regulatory compliance efforts, and operationalize governance controls across Dayforce’s AI ecosystem. This individual combines strong analytical skills, governance expertise, and technical understanding of AI systems to help ensure Dayforce’s AI solutions align with evolving regulatory requirements, industry standards, and internal governance objectives. This role reports to the leader of AI Governance. What you'll get to do Interpret emerging AI governance regulations, standards, and industry frameworks, and apply them to real-world AI use cases across the organization. Support AI governance compliance initiatives by identifying gaps, recommending remediation activities, and assisting with internal and external audits. Conduct and own risk assessments for complex AI systems, including identifying systemic risks, monitoring model bias trends, and evaluating mitigation strategies. Participate in AI model and algorithm reviews to assess governance, compliance, ethical, and operational risk considerations. Contribute to the development, implementation, and maintenance of AI governance frameworks, controls, standards, and operational processes. Map governance controls to applicable regulatory requirements and industry standards such as ISO, NIST, and emerging AI regulatory frameworks. Lead components of governance framework reviews and drive continuous improvements to governance processes and documentation. Partner cross-functionally with Product, Engineering, Data Science, Security, Legal, Privacy, and Enterprise Risk teams to operationalize responsible AI practices. Develop governance reports, presentations, risk summaries, and technical documentation tailored to both technical and non-technical audiences. Support governance committees, audit activities, and regulatory inquiries with minimal oversight. Manage governance initiatives end-to-end, including timelines, dependencies, stakeholder coordination, and delivery accountability. Evaluate AI and data architecture considerations to identify governance, compliance, privacy, and operational risks associated with AI systems. Support metadata governance, model documentation, model inventory management, and AI lifecycle governance activities. Anticipate business impacts of governance decisions and communicate recommendations clearly and effectively to stakeholders across the organization. Help foster a culture of responsible AI, ethical data usage, and continuous governance improvement across Dayforce. Skills and experience we value 5+ years of experience in AI governance, technology risk, data governance, compliance, privacy, cybersecurity, model risk management, or related fields. Post-secondary education certificate or university degree in Computer Science, Information Systems, Risk Management, Data Governance, Law, Business, or a related discipline required. IAPP certification preferred. Strong understanding of AI governance principles, model risk management concepts, and responsible AI practices. Familiarity with global AI and data regulations, frameworks, and standards including ISO, NIST AI RMF, EU AI Act, GDPR, and related governance requirements. Experience conducting risk assessments, control evaluations, or compliance reviews for AI, data, or technology systems. Understanding of AI/ML lifecycle concepts, model behavior evaluation, bias detection, performance monitoring, and governance implications of AI systems. Ability to interpret technical concepts and translate governance or compliance impacts for diverse audiences. Experience working cross-functionally with technical and business teams in a fast-paced environment. Strong analytical, critical thinking, and problem-solving skills with the ability to manage ambiguity and complex situations. Excellent written, verbal, and presentation communication skills, including the ability to influence stakeholders and facilitate governance discussions. Demonstrated project management and organizational skills, including managing multiple initiatives, timelines, and dependencies simultaneously. Experience drafting governance documentation, standards, procedures, reports, or audit artifacts. Ability to work independently while collaborating effectively across teams and functions. Experience working in a SaaS or cloud-based technology environment highly desirable. Familiarity with agile delivery environments and enterprise governance processes preferred. What’s in it for you Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage individuals to apply based on their passions. Dayforce employees and their families are eligible to participate in the following benefits programs: medical, dental, vison, and life insurance. Dayforce employees are also eligible to participate in a 401k plan (plus match) and a Global Employee Stock Purchase Plan. Employees also receive unlimited Time Away From Work (in lieu of accrued vacation time), 10 paid US holidays, up to 80 hours of paid sick time and 17 weeks of paid parental leave, subject to the terms of the applicable policy or program. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. About the Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process #LI-Remote

Benefits

Life Insurance
Parental Leave

Skills

Git API

Program Manager Sr, AI Governance

Full Time

CAD 92.6k - CAD 142.6k

2 days ago

United States

Senior

Git

API

Job Description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. About the opportunity As a key member of Dayforce’s AI Governance team, the AI Governance Program Manager Senior plays a critical role in advancing Dayforce’s responsible AI and AI governance practices. This role supports the design, implementation, and continuous improvement of governance frameworks that enable compliant, ethical, and trustworthy use of AI across the organization. The AI Governance Program Manager Senior partners closely with Legal, Privacy, Product, Engineering, Security, and Risk teams to assess AI and data-related risks, support regulatory compliance efforts, and operationalize governance controls across Dayforce’s AI ecosystem. This individual combines strong analytical skills, governance expertise, and technical understanding of AI systems to help ensure Dayforce’s AI solutions align with evolving regulatory requirements, industry standards, and internal governance objectives. This role reports to the leader of AI Governance. What you'll get to do Interpret emerging AI governance regulations, standards, and industry frameworks, and apply them to real-world AI use cases across the organization. Support AI governance compliance initiatives by identifying gaps, recommending remediation activities, and assisting with internal and external audits. Conduct and own risk assessments for complex AI systems, including identifying systemic risks, monitoring model bias trends, and evaluating mitigation strategies. Participate in AI model and algorithm reviews to assess governance, compliance, ethical, and operational risk considerations. Contribute to the development, implementation, and maintenance of AI governance frameworks, controls, standards, and operational processes. Map governance controls to applicable regulatory requirements and industry standards such as ISO, NIST, and emerging AI regulatory frameworks. Lead components of governance framework reviews and drive continuous improvements to governance processes and documentation. Partner cross-functionally with Product, Engineering, Data Science, Security, Legal, Privacy, and Enterprise Risk teams to operationalize responsible AI practices. Develop governance reports, presentations, risk summaries, and technical documentation tailored to both technical and non-technical audiences. Support governance committees, audit activities, and regulatory inquiries with minimal oversight. Manage governance initiatives end-to-end, including timelines, dependencies, stakeholder coordination, and delivery accountability. Evaluate AI and data architecture considerations to identify governance, compliance, privacy, and operational risks associated with AI systems. Support metadata governance, model documentation, model inventory management, and AI lifecycle governance activities. Anticipate business impacts of governance decisions and communicate recommendations clearly and effectively to stakeholders across the organization. Help foster a culture of responsible AI, ethical data usage, and continuous governance improvement across Dayforce. Skills and experience we value 5+ years of experience in AI governance, technology risk, data governance, compliance, privacy, cybersecurity, model risk management, or related fields. Post-secondary education certificate or university degree in Computer Science, Information Systems, Risk Management, Data Governance, Law, Business, or a related discipline required. IAPP certification preferred. Strong understanding of AI governance principles, model risk management concepts, and responsible AI practices. Familiarity with global AI and data regulations, frameworks, and standards including ISO, NIST AI RMF, EU AI Act, GDPR, and related governance requirements. Experience conducting risk assessments, control evaluations, or compliance reviews for AI, data, or technology systems. Understanding of AI/ML lifecycle concepts, model behavior evaluation, bias detection, performance monitoring, and governance implications of AI systems. Ability to interpret technical concepts and translate governance or compliance impacts for diverse audiences. Experience working cross-functionally with technical and business teams in a fast-paced environment. Strong analytical, critical thinking, and problem-solving skills with the ability to manage ambiguity and complex situations. Excellent written, verbal, and presentation communication skills, including the ability to influence stakeholders and facilitate governance discussions. Demonstrated project management and organizational skills, including managing multiple initiatives, timelines, and dependencies simultaneously. Experience drafting governance documentation, standards, procedures, reports, or audit artifacts. Ability to work independently while collaborating effectively across teams and functions. Experience working in a SaaS or cloud-based technology environment highly desirable. Familiarity with agile delivery environments and enterprise governance processes preferred. What’s in it for you Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage individuals to apply based on their passions. Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. This job posting is for an existing vacancy Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position. About the Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process Pour consulter cette offre d'emploi en français, veuillez utiliser le lien: https://jobs.dayforcehcm.com/fr-CA/mydayforce/alljobs

Skills

Git API

Program Manager Sr, AI Governance

Full Time

CAD 92.6k - CAD 142.6k

2 days ago

United States

Senior

Git

API

Job Description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. About the opportunity As a key member of Dayforce’s AI Governance team, the AI Governance Program Manager Senior plays a critical role in advancing Dayforce’s responsible AI and AI governance practices. This role supports the design, implementation, and continuous improvement of governance frameworks that enable compliant, ethical, and trustworthy use of AI across the organization. The AI Governance Program Manager Senior partners closely with Legal, Privacy, Product, Engineering, Security, and Risk teams to assess AI and data-related risks, support regulatory compliance efforts, and operationalize governance controls across Dayforce’s AI ecosystem. This individual combines strong analytical skills, governance expertise, and technical understanding of AI systems to help ensure Dayforce’s AI solutions align with evolving regulatory requirements, industry standards, and internal governance objectives. This role reports to the leader of AI Governance. What you'll get to do Interpret emerging AI governance regulations, standards, and industry frameworks, and apply them to real-world AI use cases across the organization. Support AI governance compliance initiatives by identifying gaps, recommending remediation activities, and assisting with internal and external audits. Conduct and own risk assessments for complex AI systems, including identifying systemic risks, monitoring model bias trends, and evaluating mitigation strategies. Participate in AI model and algorithm reviews to assess governance, compliance, ethical, and operational risk considerations. Contribute to the development, implementation, and maintenance of AI governance frameworks, controls, standards, and operational processes. Map governance controls to applicable regulatory requirements and industry standards such as ISO, NIST, and emerging AI regulatory frameworks. Lead components of governance framework reviews and drive continuous improvements to governance processes and documentation. Partner cross-functionally with Product, Engineering, Data Science, Security, Legal, Privacy, and Enterprise Risk teams to operationalize responsible AI practices. Develop governance reports, presentations, risk summaries, and technical documentation tailored to both technical and non-technical audiences. Support governance committees, audit activities, and regulatory inquiries with minimal oversight. Manage governance initiatives end-to-end, including timelines, dependencies, stakeholder coordination, and delivery accountability. Evaluate AI and data architecture considerations to identify governance, compliance, privacy, and operational risks associated with AI systems. Support metadata governance, model documentation, model inventory management, and AI lifecycle governance activities. Anticipate business impacts of governance decisions and communicate recommendations clearly and effectively to stakeholders across the organization. Help foster a culture of responsible AI, ethical data usage, and continuous governance improvement across Dayforce. Skills and experience we value 5+ years of experience in AI governance, technology risk, data governance, compliance, privacy, cybersecurity, model risk management, or related fields. Post-secondary education certificate or university degree in Computer Science, Information Systems, Risk Management, Data Governance, Law, Business, or a related discipline required. IAPP certification preferred. Strong understanding of AI governance principles, model risk management concepts, and responsible AI practices. Familiarity with global AI and data regulations, frameworks, and standards including ISO, NIST AI RMF, EU AI Act, GDPR, and related governance requirements. Experience conducting risk assessments, control evaluations, or compliance reviews for AI, data, or technology systems. Understanding of AI/ML lifecycle concepts, model behavior evaluation, bias detection, performance monitoring, and governance implications of AI systems. Ability to interpret technical concepts and translate governance or compliance impacts for diverse audiences. Experience working cross-functionally with technical and business teams in a fast-paced environment. Strong analytical, critical thinking, and problem-solving skills with the ability to manage ambiguity and complex situations. Excellent written, verbal, and presentation communication skills, including the ability to influence stakeholders and facilitate governance discussions. Demonstrated project management and organizational skills, including managing multiple initiatives, timelines, and dependencies simultaneously. Experience drafting governance documentation, standards, procedures, reports, or audit artifacts. Ability to work independently while collaborating effectively across teams and functions. Experience working in a SaaS or cloud-based technology environment highly desirable. Familiarity with agile delivery environments and enterprise governance processes preferred. What’s in it for you Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage individuals to apply based on their passions. Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. This job posting is for an existing vacancy Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position. About the Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process Pour consulter cette offre d'emploi en français, veuillez utiliser le lien: https://jobs.dayforcehcm.com/fr-CA/mydayforce/alljobs

Skills

Git API

Program Manager Sr, AI Governance

Full Time

$95.1k - $169.8k

2 days ago

United States

Senior

Git

API

Job Description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. About the opportunity As a key member of Dayforce’s AI Governance team, the AI Governance Program Manager Senior plays a critical role in advancing Dayforce’s responsible AI and AI governance practices. This role supports the design, implementation, and continuous improvement of governance frameworks that enable compliant, ethical, and trustworthy use of AI across the organization. The AI Governance Program Manager Senior partners closely with Legal, Privacy, Product, Engineering, Security, and Risk teams to assess AI and data-related risks, support regulatory compliance efforts, and operationalize governance controls across Dayforce’s AI ecosystem. This individual combines strong analytical skills, governance expertise, and technical understanding of AI systems to help ensure Dayforce’s AI solutions align with evolving regulatory requirements, industry standards, and internal governance objectives. This role reports to the leader of AI Governance. What you'll get to do Interpret emerging AI governance regulations, standards, and industry frameworks, and apply them to real-world AI use cases across the organization. Support AI governance compliance initiatives by identifying gaps, recommending remediation activities, and assisting with internal and external audits. Conduct and own risk assessments for complex AI systems, including identifying systemic risks, monitoring model bias trends, and evaluating mitigation strategies. Participate in AI model and algorithm reviews to assess governance, compliance, ethical, and operational risk considerations. Contribute to the development, implementation, and maintenance of AI governance frameworks, controls, standards, and operational processes. Map governance controls to applicable regulatory requirements and industry standards such as ISO, NIST, and emerging AI regulatory frameworks. Lead components of governance framework reviews and drive continuous improvements to governance processes and documentation. Partner cross-functionally with Product, Engineering, Data Science, Security, Legal, Privacy, and Enterprise Risk teams to operationalize responsible AI practices. Develop governance reports, presentations, risk summaries, and technical documentation tailored to both technical and non-technical audiences. Support governance committees, audit activities, and regulatory inquiries with minimal oversight. Manage governance initiatives end-to-end, including timelines, dependencies, stakeholder coordination, and delivery accountability. Evaluate AI and data architecture considerations to identify governance, compliance, privacy, and operational risks associated with AI systems. Support metadata governance, model documentation, model inventory management, and AI lifecycle governance activities. Anticipate business impacts of governance decisions and communicate recommendations clearly and effectively to stakeholders across the organization. Help foster a culture of responsible AI, ethical data usage, and continuous governance improvement across Dayforce. Skills and experience we value 5+ years of experience in AI governance, technology risk, data governance, compliance, privacy, cybersecurity, model risk management, or related fields. Post-secondary education certificate or university degree in Computer Science, Information Systems, Risk Management, Data Governance, Law, Business, or a related discipline required. IAPP certification preferred. Strong understanding of AI governance principles, model risk management concepts, and responsible AI practices. Familiarity with global AI and data regulations, frameworks, and standards including ISO, NIST AI RMF, EU AI Act, GDPR, and related governance requirements. Experience conducting risk assessments, control evaluations, or compliance reviews for AI, data, or technology systems. Understanding of AI/ML lifecycle concepts, model behavior evaluation, bias detection, performance monitoring, and governance implications of AI systems. Ability to interpret technical concepts and translate governance or compliance impacts for diverse audiences. Experience working cross-functionally with technical and business teams in a fast-paced environment. Strong analytical, critical thinking, and problem-solving skills with the ability to manage ambiguity and complex situations. Excellent written, verbal, and presentation communication skills, including the ability to influence stakeholders and facilitate governance discussions. Demonstrated project management and organizational skills, including managing multiple initiatives, timelines, and dependencies simultaneously. Experience drafting governance documentation, standards, procedures, reports, or audit artifacts. Ability to work independently while collaborating effectively across teams and functions. Experience working in a SaaS or cloud-based technology environment highly desirable. Familiarity with agile delivery environments and enterprise governance processes preferred. What’s in it for you Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage individuals to apply based on their passions. Dayforce employees and their families are eligible to participate in the following benefits programs: medical, dental, vison, and life insurance. Dayforce employees are also eligible to participate in a 401k plan (plus match) and a Global Employee Stock Purchase Plan. Employees also receive unlimited Time Away From Work (in lieu of accrued vacation time), 10 paid US holidays, up to 80 hours of paid sick time and 17 weeks of paid parental leave, subject to the terms of the applicable policy or program. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. About the Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process #LI-Remote

Benefits

Life Insurance
Parental Leave

Skills

Git API

Program Manager Sr, AI Governance

Full Time

$95.1k - $169.8k

2 days ago

United States

Senior

Git

API

Job Description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. About the opportunity As a key member of Dayforce’s AI Governance team, the AI Governance Program Manager Senior plays a critical role in advancing Dayforce’s responsible AI and AI governance practices. This role supports the design, implementation, and continuous improvement of governance frameworks that enable compliant, ethical, and trustworthy use of AI across the organization. The AI Governance Program Manager Senior partners closely with Legal, Privacy, Product, Engineering, Security, and Risk teams to assess AI and data-related risks, support regulatory compliance efforts, and operationalize governance controls across Dayforce’s AI ecosystem. This individual combines strong analytical skills, governance expertise, and technical understanding of AI systems to help ensure Dayforce’s AI solutions align with evolving regulatory requirements, industry standards, and internal governance objectives. This role reports to the leader of AI Governance. What you'll get to do Interpret emerging AI governance regulations, standards, and industry frameworks, and apply them to real-world AI use cases across the organization. Support AI governance compliance initiatives by identifying gaps, recommending remediation activities, and assisting with internal and external audits. Conduct and own risk assessments for complex AI systems, including identifying systemic risks, monitoring model bias trends, and evaluating mitigation strategies. Participate in AI model and algorithm reviews to assess governance, compliance, ethical, and operational risk considerations. Contribute to the development, implementation, and maintenance of AI governance frameworks, controls, standards, and operational processes. Map governance controls to applicable regulatory requirements and industry standards such as ISO, NIST, and emerging AI regulatory frameworks. Lead components of governance framework reviews and drive continuous improvements to governance processes and documentation. Partner cross-functionally with Product, Engineering, Data Science, Security, Legal, Privacy, and Enterprise Risk teams to operationalize responsible AI practices. Develop governance reports, presentations, risk summaries, and technical documentation tailored to both technical and non-technical audiences. Support governance committees, audit activities, and regulatory inquiries with minimal oversight. Manage governance initiatives end-to-end, including timelines, dependencies, stakeholder coordination, and delivery accountability. Evaluate AI and data architecture considerations to identify governance, compliance, privacy, and operational risks associated with AI systems. Support metadata governance, model documentation, model inventory management, and AI lifecycle governance activities. Anticipate business impacts of governance decisions and communicate recommendations clearly and effectively to stakeholders across the organization. Help foster a culture of responsible AI, ethical data usage, and continuous governance improvement across Dayforce. Skills and experience we value 5+ years of experience in AI governance, technology risk, data governance, compliance, privacy, cybersecurity, model risk management, or related fields. Post-secondary education certificate or university degree in Computer Science, Information Systems, Risk Management, Data Governance, Law, Business, or a related discipline required. IAPP certification preferred. Strong understanding of AI governance principles, model risk management concepts, and responsible AI practices. Familiarity with global AI and data regulations, frameworks, and standards including ISO, NIST AI RMF, EU AI Act, GDPR, and related governance requirements. Experience conducting risk assessments, control evaluations, or compliance reviews for AI, data, or technology systems. Understanding of AI/ML lifecycle concepts, model behavior evaluation, bias detection, performance monitoring, and governance implications of AI systems. Ability to interpret technical concepts and translate governance or compliance impacts for diverse audiences. Experience working cross-functionally with technical and business teams in a fast-paced environment. Strong analytical, critical thinking, and problem-solving skills with the ability to manage ambiguity and complex situations. Excellent written, verbal, and presentation communication skills, including the ability to influence stakeholders and facilitate governance discussions. Demonstrated project management and organizational skills, including managing multiple initiatives, timelines, and dependencies simultaneously. Experience drafting governance documentation, standards, procedures, reports, or audit artifacts. Ability to work independently while collaborating effectively across teams and functions. Experience working in a SaaS or cloud-based technology environment highly desirable. Familiarity with agile delivery environments and enterprise governance processes preferred. What’s in it for you Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage individuals to apply based on their passions. Dayforce employees and their families are eligible to participate in the following benefits programs: medical, dental, vison, and life insurance. Dayforce employees are also eligible to participate in a 401k plan (plus match) and a Global Employee Stock Purchase Plan. Employees also receive unlimited Time Away From Work (in lieu of accrued vacation time), 10 paid US holidays, up to 80 hours of paid sick time and 17 weeks of paid parental leave, subject to the terms of the applicable policy or program. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. About the Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process #LI-Remote

Benefits

Life Insurance
Parental Leave

Skills

Git API

Program Manager Sr, AI Governance

Full Time

CAD 92.6k - CAD 142.6k

2 days ago

United States

Senior

Git

API

Job Description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region. Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce. Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally. About the opportunity As a key member of Dayforce’s AI Governance team, the AI Governance Program Manager Senior plays a critical role in advancing Dayforce’s responsible AI and AI governance practices. This role supports the design, implementation, and continuous improvement of governance frameworks that enable compliant, ethical, and trustworthy use of AI across the organization. The AI Governance Program Manager Senior partners closely with Legal, Privacy, Product, Engineering, Security, and Risk teams to assess AI and data-related risks, support regulatory compliance efforts, and operationalize governance controls across Dayforce’s AI ecosystem. This individual combines strong analytical skills, governance expertise, and technical understanding of AI systems to help ensure Dayforce’s AI solutions align with evolving regulatory requirements, industry standards, and internal governance objectives. This role reports to the leader of AI Governance. What you'll get to do Interpret emerging AI governance regulations, standards, and industry frameworks, and apply them to real-world AI use cases across the organization. Support AI governance compliance initiatives by identifying gaps, recommending remediation activities, and assisting with internal and external audits. Conduct and own risk assessments for complex AI systems, including identifying systemic risks, monitoring model bias trends, and evaluating mitigation strategies. Participate in AI model and algorithm reviews to assess governance, compliance, ethical, and operational risk considerations. Contribute to the development, implementation, and maintenance of AI governance frameworks, controls, standards, and operational processes. Map governance controls to applicable regulatory requirements and industry standards such as ISO, NIST, and emerging AI regulatory frameworks. Lead components of governance framework reviews and drive continuous improvements to governance processes and documentation. Partner cross-functionally with Product, Engineering, Data Science, Security, Legal, Privacy, and Enterprise Risk teams to operationalize responsible AI practices. Develop governance reports, presentations, risk summaries, and technical documentation tailored to both technical and non-technical audiences. Support governance committees, audit activities, and regulatory inquiries with minimal oversight. Manage governance initiatives end-to-end, including timelines, dependencies, stakeholder coordination, and delivery accountability. Evaluate AI and data architecture considerations to identify governance, compliance, privacy, and operational risks associated with AI systems. Support metadata governance, model documentation, model inventory management, and AI lifecycle governance activities. Anticipate business impacts of governance decisions and communicate recommendations clearly and effectively to stakeholders across the organization. Help foster a culture of responsible AI, ethical data usage, and continuous governance improvement across Dayforce. Skills and experience we value 5+ years of experience in AI governance, technology risk, data governance, compliance, privacy, cybersecurity, model risk management, or related fields. Post-secondary education certificate or university degree in Computer Science, Information Systems, Risk Management, Data Governance, Law, Business, or a related discipline required. IAPP certification preferred. Strong understanding of AI governance principles, model risk management concepts, and responsible AI practices. Familiarity with global AI and data regulations, frameworks, and standards including ISO, NIST AI RMF, EU AI Act, GDPR, and related governance requirements. Experience conducting risk assessments, control evaluations, or compliance reviews for AI, data, or technology systems. Understanding of AI/ML lifecycle concepts, model behavior evaluation, bias detection, performance monitoring, and governance implications of AI systems. Ability to interpret technical concepts and translate governance or compliance impacts for diverse audiences. Experience working cross-functionally with technical and business teams in a fast-paced environment. Strong analytical, critical thinking, and problem-solving skills with the ability to manage ambiguity and complex situations. Excellent written, verbal, and presentation communication skills, including the ability to influence stakeholders and facilitate governance discussions. Demonstrated project management and organizational skills, including managing multiple initiatives, timelines, and dependencies simultaneously. Experience drafting governance documentation, standards, procedures, reports, or audit artifacts. Ability to work independently while collaborating effectively across teams and functions. Experience working in a SaaS or cloud-based technology environment highly desirable. Familiarity with agile delivery environments and enterprise governance processes preferred. What’s in it for you Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment. We encourage individuals to apply based on their passions. Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits. With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself. This job posting is for an existing vacancy Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position. About the Salary Ranges Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement. Fraudulent Recruiting Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process Pour consulter cette offre d'emploi en français, veuillez utiliser le lien: https://jobs.dayforcehcm.com/fr-CA/mydayforce/alljobs

Skills

Git API

Marine SME - AI Governance

RightShip

Full Time

2 days ago

United States

Senior

Git

Job Description

The Company RightShip is the world’s biggest third party maritime due diligence organization, providing expertise in global safety, sustainability and social responsibility best practices. We bring together years of industry expertise with the output from analytics and large data sets to provide our safety and environmental scoring systems, recommendations and consultancy services. Using leading data and technology, we aim to set new benchmarks in environmental protection. We support global initiatives and action influencing practical and impactful change, enabling “win-win” for business and the environment. To find out more visit RightShip.com. What we offer We offer a place where you know you are contributing to an organization who are constantly working to ensure ships are safe as possible so that crew and cargo are protected. We are passionate about maritime efficiency, safety and sustainability practices. We offer generous rewards. Our base salary is competitive, we support employee wellbeing and provide our employees with a Healthy Living Allowance and our annual incentive scheme is awesome. We have some great talent who are happy to share their experience and skills to help you on your way and we are committed to professional development to make sure your career keeps growing while you’re working with us. What makes RightShip a great place to work at: RightShip is an equal opportunity employer, and we champion diversity. Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities, and generations. We believe that a diversity of experiences makes us stronger—as individuals, as communities and as an organization. Don’t meet every single requirement of this role? Still apply! Research tells us that that women and underrepresented groups are less likely to apply unless they meet every single requirement. At RightShip we believe that the right hire is someone who makes an addition to our culture, rather than someone who fits in and conforms to our status quo. We want to add team members who not only value RightShip standards and workplace culture, but also bring an aspect of diversity that positively contributes to our work environment. If you are excited about this role, or about our company in general, we would love to hear from you! The Marine SME - AI Governance sits within the Marine Excellence team and acts as a bridge between marine subject matter expertise, the Data Governance team, and the Product, Data, and AI teams. You will play a key role in ensuring that all AI models in production are monitored effectively for accuracy, behaviour, and compliance with marine standards. This role focuses on proactive auditing of AI outputs, monitoring key metrics, and collaborating on the design and implementation of governance frameworks for new and existing models. This is an ideal opportunity for someone with deep expertise in shipping regulations, vessel operations, safety, and incident investigation, who is passionate about digital innovation and governance. The ideal candidate will be detail-oriented, analytical, and collaborative, with a genuine interest in AI, data, and technology. Key Responsibilities AI Model Monitoring & Auditing Proactively monitor the performance, accuracy, and behaviour of AI models in production, ensuring alignment with marine standards and regulatory requirements. Conduct regular audits of AI outputs, identifying anomalies, recurring error patterns, and potential bias issues. Track and report key metrics related to model performance, reliability, and compliance. Document audit findings and contribute to governance reports for senior leadership and industry bodies. Governance Framework Design Work closely with the Data Governance team to design, implement, and maintain governance frameworks for new and existing AI models. Ensure frameworks address risk management, defensibility, and transparency in AI decision-making. Collaborate on the development of validation datasets and test scenarios that reflect real-world complexity and marine operational requirements. AI Testing & Quality Assurance Participate in structured testing of AI model outputs (before production and after updates); validate that classifications, recommendations, and results align with expectations. Identify recurring error patterns, edge cases, or bias issues and raise them to the AI team in a structured manner. Work with Data and AI Team to create test scenarios and validation datasets that reflect real-world complexity (e.g. rare inspection types, ambiguous vessel profiles). Track issues and feedback in collaboration tools (e.g., Jira, Notion, or internal AI feedback systems) to ensure AI teams have actionable data for fine-tuning. Document QA results, annotation metrics, and model behaviour observations to contribute to overall governance reports. Continuous Improvement & Collaboration Partner with Product, Data, and AI teams to drive continuous improvement in model monitoring, governance, and reporting processes. Provide marine SME input into the design and evolution of governance tools, dashboards, and workflows. Support the development and delivery of training and awareness programmes on AI governance for internal stakeholders. Project Management & Progress Monitoring Demonstrate strong project management skills by setting clear timelines, defining deliverables, and ensuring that milestones are met throughout the lifecycle of AI and data initiatives. Proactively monitor progress against agreed schedules, identifying and addressing any blockers to maintain momentum and deliver quality outcomes on time. Coordinate effectively with cross-functional teams to align priorities, track dependencies, and report on project status to stakeholders. About You Extensive experience in maritime assurance, vessel operations, safety, and incident investigation with a strong understanding of global maritime standards, PSC regimes, and inspection frameworks. Hands-on experience with vessel inspections, either conducting or being inspected by regimes such as RISQ or SIRE highly desired. Analytical precision: You have strong attention to detail, excellent pattern recognition, and a structured approach to problem-solving. You are curious, innovative, and a problem solver who thinks outside the box. Quality mindset: You possess experience or a natural aptitude for testing and quality assurance processes, taking ownership of data accuracy and model reliability, not just task completion. Communication: You can document issues clearly and provide constructive feedback to AI engineers, turning observations into actionable insights. You have exceptional communication skills and are able to convey marine concepts to non-marine audiences. Problem-solving curiosity: When something appears incorrect, your instinct is to investigate and raise questions, always backed by evidence. Collaboration: You enjoy working cross-functionally with AI, data, and domain experts in a feedback-driven environment. You are collaborative and open-minded with experience influencing product development and data-driven innovation highly desirable. Growth-oriented: You have a deep curiosity about AI, data science, and maritime technology, and are eager to develop your understanding of how human insight and AI systems interact. RightShip is an Equal Opportunity Employer and values diversity, enables access and promotes inclusion in our workplace. You must have the right to live and work in this location to apply for this job.

Benefits

Professional Development

Skills

Git

AI Security Architect- ARC, Apple Information Security

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

AI/ML

Threat modeling

Python

+3 more

Job Description

We are seeking an AI Security Architect with deep expertise across security architecture, AI/ML systems, and threat modeling to join the Apple Information Security (AIS) Assurance ARC team. You will own security guidance for the most critical, high-risk AI initiatives across Apple, shaping architecture patterns, conducting design reviews, selecting or building security solutions for AI-driven environments, and translating expert decisions into AI-powered guidance that scales across the entire organization. Your work will directly determine how safely and confidently Apple adopts AI at scale. Our scope spans across Apple's products, services, and operations, where the adoption of AI is accelerating at an unprecedented pace. The Assurance ARC organization is entrusted with providing expert security architecture guidance for these AI systems, and your contributions will directly impact our ability to protect against evolving AI-specific threats while enabling the business to innovate securely at scale. DESCRIPTION In this high-impact role, you will bridge the gap between traditional security practices and emerging AI risks. Operating under Zero Trust principles and Secure by Default framework, you will partner with engineering, data science, product, and compliance teams to build "paved roads" — pre-approved, reusable, secure-by-default patterns that enable teams to build AI-driven systems without a bespoke review for every project. you will amplify the effectiveness of the entire security function, by reducing inbound request volume through proactive foundational work and providing developers, ML engineers, and traditional security architects with clear guidance and standardized controls, Leveraging deep AI/ML knowledge, you will evaluate risks such as data poisoning, model manipulation, and prompt injection, while simultaneously applying AI to security workflows to automate threat modeling, design reviews, and control validation. The third dimension of this role beyond prevention and response, is scale: applying AI-driven tooling to extend the team's reach far beyond what headcount alone can achieve. This is a highly strategic and technical role that bridges AI innovation with security, enabling Apple to adopt AI confidently and at pace. As part of the Advisory Arm, you will also contribute directly to the Self-Service Enablement Platform, codifying decisions, patterns, and trade-offs from your reviews into AI-powered guidance accessible to teams without direct advisory engagement. Additionally, by working on Apple's most cutting-edge AI projects, you will serve as an intelligence sensor for the broader ARC team: identifying emerging AI/ML technologies and architectural patterns that should become future foundational focus areas, ensuring the organization stays ahead of the threat landscape. MINIMUM QUALIFICATIONS BS in Computer Science, Computer Engineering, or Information Security, or 6+ years of equivalent, hands-on security experience in large enterprise environments a plus. Strong background in security architecture, application security, or cloud security Demonstrated understanding of AI/ML concepts, pipelines, and risks (e.g., data poisoning, prompt injection, model inversion, model theft) Experience with threat modeling methodologies (e.g., STRIDE) and secure design principles Familiarity with AI regulatory frameworks such as the EU AI Act, NIST AI RMF, ISO/IEC 42001, or comparable standards Ability to communicate security concepts clearly to both technical and non-technical stakeholders Proven ability to partner with engineering, data science, and product teams to drive adoption of security requirements Experience applying AI/LLMs for security automation (e.g., risk analysis, automated threat modeling, compliance validation) Proficiency in at least one scripting or programming language (e.g., Python, Swift, Java) PREFERRED QUALIFICATIONS Experience performing full-stack security architecture reviews encompassing cloud-native and emerging AI/ML technologies Experience designing security patterns for LLM-based systems, RAG pipelines, or agentic architectures Familiarity with Zero Trust architecture principles and Secure by Default design Experience with data protection, encryption architecture, and key management in AI/ML contexts Strong verbal and written communication skills, with the ability to build consensus across diverse teams A real passion for staying ahead of emerging AI security risks and translating that knowledge into actionable guidance Deeply accountable for your work; upbeat, adaptable, and results-oriented

Requirements

BS in Computer Science or related field
6+ years of equivalent hands-on security experience
Deep expertise in AI/ML systems and threat modeling
Ability to partner with engineering and data science teams
Strong communication and collaboration skills
Experience with cloud security and compliance
Familiarity with Zero Trust principles and Secure by Default framework

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

AI/ML Threat modeling Python Java Cloud Security Security Architecture

AI Security Specialist (F/H)

Devoteam

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Cybersecurity

Machine Learning

Cloud Security

+2 more

Job Description

Description de l'entreprise Devoteam est une entreprise de conseil en technologies, cloud, cyber, IA et développement durable. Avec plus de 11 000 collaborateurs dans plus de 25 pays, nous guidons nos clients depuis près de 30 ans dans la transformation technologique de leurs activités. En France, nous sommes 4500 Digital Architects répartis dans + de 50 tribus d’expertises et coachés par + de 400 managers experts. Nous rejoindre c’est : travailler sur des projets innovants et durables pour mettre la Technologie au service de l’humain, se certifier en continu sur les nouvelles tech du marché et partager des moments uniques entre collègues ! Pour en découvrir plus sur Devoteam, rendez-vous ici. Description du poste Au sein de nos équipes Cyber Trust, vous accompagnez nos clients dans la sécurisation de leurs initiatives autour de l'Intelligence Artificielle, de l'IA générative et des modèles de Machine Learning. En tant qu'AI Security Specialist, vous intervenez à la croisée de la cybersécurité, de la gouvernance de l'IA et de l'innovation afin d'identifier, évaluer et maîtriser les risques liés aux systèmes d'IA. À ce titre, vous serez amené(e) à : Réaliser des évaluations de sécurité sur des solutions d'IA, d'IA générative et des applications intégrant des LLM ; Identifier les vulnérabilités spécifiques aux systèmes d'IA : prompt injection, data poisoning, model theft, adversarial attacks, fuite d'informations sensibles ou détournement d'usage ; Définir et mettre en œuvre des mesures de sécurité adaptées tout au long du cycle de vie des modèles d'IA ; Accompagner les équipes métiers, data et techniques dans l'adoption sécurisée de l'IA ; Participer à la sécurisation des architectures intégrant des services d'IA cloud et des modèles tiers ; Réaliser des analyses de risques et produire des recommandations de remédiation ; Contribuer à la définition de standards, politiques et bonnes pratiques de sécurité applicables aux usages d'IA ; Accompagner les clients sur les exigences réglementaires émergentes liées à l'IA (AI Act, protection des données, gestion des tiers) ; Animer des ateliers de sensibilisation et de formation autour des enjeux de sécurité de l'IA ; Assurer une veille active sur les menaces, les référentiels et les évolutions technologiques du domaine. Vous interviendrez auprès d'acteurs majeurs de secteurs variés tels que la banque, l'assurance, le luxe, l'industrie ou le secteur public. Qualifications Diplômé(e) d'une école d'ingénieur, d'un Master en cybersécurité, data science ou informatique, vous justifiez d'une première expérience réussie en cybersécurité, sécurité applicative, cloud security ou sécurité des environnements IA. Vous disposez idéalement de compétences sur plusieurs des sujets suivants : Sécurité des applications et des API ; Gouvernance des risques et analyses de risques ; Sécurité cloud (AWS, Azure ou GCP) ; Concepts de Machine Learning et d'IA générative ; Sécurisation des LLM et des frameworks d'IA ; DevSecOps et sécurisation des chaînes CI/CD ; Protection des données et enjeux de confidentialité ; Référentiels de sécurité tels que NIST, ISO 27001 ou OWASP. Une connaissance des référentiels et standards dédiés à l'IA constituera un véritable atout : OWASP Top 10 for LLM Applications ; NIST AI Risk Management Framework ; ISO/IEC 42001 ; AI Act européen. Vous êtes reconnu(e) pour votre curiosité, votre esprit d'analyse, votre capacité à vulgariser des sujets complexes et votre aptitude à travailler dans des environnements multidisciplinaires. La maîtrise de l'anglais professionnel est indispensable. Informations complémentaires Pourquoi nous rejoindre ? Un suivi de carrière réalisé par un manager tech avec des échanges réguliers ; Des certifications techniques et soft skills en libre accès avec un objectif de 2 certifications minimum par an, des vouchers fournis et du coaching d’experts ; Des partenaires technologiques de choix : Google, AWS, Microsoft, ServiceNow, Snowflake, MuleSoft, Outsystems, SAP, Databricks, Gitlab, … ; Une trajectoire aux possibilités variées via la mobilité interne géographique, fonctionnelle et inter entité / tribu ou squad. Des rôles internes pour construire votre carrière au sein du Groupe : manager, formateur interne, tech leader, digital champion, squad leader, … Des contributions internes pour élargir vos compétences telles que les relations écoles, le recrutement, le commerce, la rédaction d’articles, l’animation de meet up ou de communauté, … Un esprit de communauté fort, au travers d’événements internes et d’activités sportives et culturelles grâce à plus de 30 clubs Happiness@Devoteam, vous permettant de rencontrer vos collègues régulièrement et de partager vos passions ; Une vision Tech for People qui s’incarne dans nos valeurs, nos pratiques responsables, notre programme de développement durable récompensé par le label Ecovadis et nos engagements forts avec notamment la Fondation Devoteam. Comment se déroule le processus de recrutement chez Devoteam ? Il comporte 2 à 3 entretiens : Talent Acquisition Interview : l'objectif est de faire le point sur vos compétences, votre niveau d'anglais et de valider vos éléments de motivation Tech & Business Interview : cet entretien vise à approfondir vos compétences techniques et à vérifier leur adéquation avec nos besoins lors d'un échange avec un expert métier Leadership Interview : il permet d'évaluer votre potentiel, vos ambitions et d'envisager votre évolution au sein de Devoteam. Nous privilégions au moins un entretien en présentiel. Une prise de référence est demandée et, selon votre profil, des tests (techniques, anglais, personnalité...) peuvent vous être adressés. Si votre candidature est retenue, nous vous faisons parvenir une proposition présentant les conditions d'embauche. En cas d'acceptation, le contrat de travail est formalisé. Si vous partagez notre passion pour la technologie et que vous souhaitez construire le monde numérique responsable de demain, alors vous êtes peut-être le passionné que nous recherchons chez Devoteam. Le Groupe Devoteam oeuvre pour l'égalité des chances, pour la promotion de ses collaboratrices et de ses collaborateurs au mérite et lutte activement contre toute forme de discrimination. Nous sommes persuadés que la diversité contribue à la créativité, au dynamisme et à l'excellence de notre organisation. Tous nos postes sont ouverts aux personnes en situation de handicap. Contract type: CDI

Requirements

5+ years of experience in AI security
Strong understanding of machine learning and AI
Experience with cloud security and DevSecOps
Ability to work in a fast-paced environment
Strong communication and collaboration skills
Experience with API security and threat modeling
Knowledge of relevant regulations and standards

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

Cybersecurity Machine Learning Cloud Security API Security DevSecOps

Lead Risk Analyst - Model Validation

Full Time

$80,000 - $150,000*

3 days ago

United Kingdom

Worldwide

Lead

Python

SQL

SAS

+3 more

Job Description

Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices. We are looking for a talented and passionate Lead Risk Analyst - Model Validation to join our Model Risk Oversight Team. The team focuses on validating and overseeing the risks associated with all models across Starling, particularly those involving advanced modeling techniques (including AI). If you have model validation / model build experience across a variety of models (e.g., credit risk, AI, forecasting) and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you! As a Lead Analyst - Model Validation, you will be responsible for: Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines. Producing committee papers and presenting at committees. Presenting high-level validation findings to Senior leadership. Engaging and forming close relationships with the key stakeholders to enable good model risk management practices throughout the model lifecycle. Graduate level education preferable, ideally in a numerical degree (or an equivalent work experience); Experience in model validation or model development, ideally across different model types. Knowledge of the AI models would be a bonus. Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. Ability to articulate findings from analysis in a succinct and clear way that is suitable for the target audience. Organised, flexible and adaptable, with the ability to switch between tasks seamlessly. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Good knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus. 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day’s holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Requirements

Graduate level education preferable
Experience in model validation or model development
Knowledge of AI models
Expert in analytical tools
Ability to articulate findings
Organised, flexible and adaptable
Strong problem-solving skills
Excellent communication and teamwork abilities

Benefits

Life Insurance

Skills

Python SQL SAS Spreadsheets AI/ML Models Model Validation

Lead Risk Analyst - Model Validation

Full Time

$80,000 - $150,000*

3 days ago

United Kingdom

Worldwide

Lead

Python

SQL

SAS

+3 more

Job Description

Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices. We are looking for a talented and passionate Lead Risk Analyst - Model Validation to join our Model Risk Oversight Team. The team focuses on validating and overseeing the risks associated with all models across Starling, particularly those involving advanced modeling techniques (including AI). If you have model validation / model build experience across a variety of models (e.g., credit risk, AI, forecasting) and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you! As a Lead Analyst - Model Validation, you will be responsible for: Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines. Producing committee papers and presenting at committees. Presenting high-level validation findings to Senior leadership. Engaging and forming close relationships with the key stakeholders to enable good model risk management practices throughout the model lifecycle. Graduate level education preferable, ideally in a numerical degree (or an equivalent work experience); Experience in model validation or model development, ideally across different model types. Knowledge of the AI models would be a bonus. Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. Ability to articulate findings from analysis in a succinct and clear way that is suitable for the target audience. Organised, flexible and adaptable, with the ability to switch between tasks seamlessly. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Good knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus. 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day’s holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work and Salary Sacrificed Gym partnerships About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

Requirements

Graduate level education preferable
Experience in model validation or model development
Knowledge of AI models
Expert in analytical tools
Ability to articulate findings
Organised, flexible and adaptable
Strong problem-solving skills
Excellent communication and teamwork abilities

Benefits

Life Insurance

Skills

Python SQL SAS Spreadsheets AI/ML Models Model Validation

Team Lead - AI Security for Coding Agents

Cato Networks

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Lead

Python

Node.JS

Go

+5 more

Job Description

Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! Cato is building the future of AI Security - a platform that enables organizations to adopt AI boldly while keeping it governed, observable, and secure. We’re looking for a hands-on Software Engineering Team Lead to own our AI Security product for coding agents - from Claude Code, Codex, and GitHub Copilot to cloud-native coding environments and fully autonomous development agents. This is a high-impact, product-driven leadership role at the intersection of AI, developer experience, cloud infrastructure, and enterprise security. You’ll lead a full-stack team that owns this domain end-to-end: from infrastructure and policy engines to delightful product experiences that engineering teams actually love using. What You’ll Do Lead and grow a full-stack engineering team dedicated to securing AI coding agents and autonomous development workflows. Own the entire product area - strategy, architecture, roadmap execution, quality, customer adoption, and continuous iteration. Design and build production-grade capabilities spanning AWS & Kubernetes infrastructure, backend services, real-time policy & enforcement engines, rich APIs/integrations, and intuitive UI/UX. Partner closely with Product, Design, Sales Engineering, and customers to stay ahead of emerging AI risks and developer needs. Set a high bar for engineering quality, ownership mindset, fast delivery, and product thinking across the team. Help shape how the industry solves one of the biggest challenges of our time: letting AI agents move at incredible speed without compromising security or governance. What You Bring 3+ years leading full-stack engineering teams, with a strong preference for staying hands-on with code and architecture. 5+ years of strong full-stack software engineering experience. Deep expertise across AWS, Kubernetes, backend services, APIs, databases, and modern frontend/UI development. Strong backend skills in Python, Node.js, Go, or similar languages. Proven track record owning complex product domains from initial design through production and ongoing evolution. Excellent product intuition and the ability to collaborate effectively with Product, Design, field teams, and customers. Genuine curiosity about AI coding agents, modern developer workflows, and the future of AI-assisted software engineering.

Requirements

3+ years leading full-stack engineering teams
5+ years of strong full-stack software engineering experience
Deep expertise across AWS, Kubernetes, backend services, APIs, databases, and modern frontend/UI development
Strong backend skills in Python, Node.js, Go, or similar languages
Proven track record owning complex product domains from initial design through production and ongoing evolution

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

Python Node.JS Go AWS Kubernetes APIs Databases Backend services

AIML - Senior ML Engineer, Responsible AI and Safety

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Senior

Python

Pandas

Transformers

+4 more

Job Description

Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As part of Apple’s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you’ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we’ll anticipate challenges, measure real-world impact, and deliver trusted, high‑quality AI experiences to users around the globe. You’ll also contribute to forward‑looking research in fairness, robustness, uncertainty, and safety — pushing the boundaries of responsible AI at scale. DESCRIPTION Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders—ensuring our safeguards advance both user protection and product innovation. These individuals will work on architecture mitigation and safety alignment strategies for generative models, drive integration in production. Additionally, they will work on developing models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle. We do all these by incorporating human and automated feedback, post‑launch to continuously improve feature safety and user trust. MINIMUM QUALIFICATIONS 3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows Excellent interpersonal skills and proven ability to translate sophisticated technical insights for cross‑functional partners, senior leadership, and executives Strong analytical and independent problem-solving skills, with ability to navigate ambiguity Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multi‑labeled data Hands‑on experience collecting and analyzing language, vision, or multimodal datasets Background in failure analysis, quality engineering, or robustness testing for ML‑driven systems Must be comfortable working with sensitive or potentially offensive content PREFERRED QUALIFICATIONS BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience Proven success contributing in a highly cross‑functional environment Experience shipping complex AI systems at global scale Background in model explainability, uncertainty estimation, or interpretability Curiosity and research interest in fairness, bias, and the societal impacts of generative AI Passion for building innovative, high‑impact products that draw upon interdisciplinary skills

Requirements

3+ years of proven ability in machine learning, including work with generative models
Proficiency in Python and data science libraries (e.g. Pandas)
Strong skills in data analysis, visualization, and applied ML workflows
Excellent interpersonal skills and proven ability to translate sophisticated technical insights
Strong analytical and independent problem-solving skills, with ability to navigate ambiguity

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

Python Pandas Transformers LLMs VLMs NLP Computer Vision

AIML - Senior ML Engineer, Responsible AI and Safety

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Senior

Python

Pandas

Transformers

+4 more

Job Description

Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As part of Apple’s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you’ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we’ll anticipate challenges, measure real-world impact, and deliver trusted, high‑quality AI experiences to users around the globe. You’ll also contribute to forward‑looking research in fairness, robustness, uncertainty, and safety — pushing the boundaries of responsible AI at scale. DESCRIPTION Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders—ensuring our safeguards advance both user protection and product innovation. These individuals will work on architecture mitigation and safety alignment strategies for generative models, drive integration in production. Additionally, they will work on developing models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle. We do all these by incorporating human and automated feedback, post‑launch to continuously improve feature safety and user trust. MINIMUM QUALIFICATIONS 3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows Excellent interpersonal skills and proven ability to translate sophisticated technical insights for cross‑functional partners, senior leadership, and executives Strong analytical and independent problem-solving skills, with ability to navigate ambiguity Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multi‑labeled data Hands‑on experience collecting and analyzing language, vision, or multimodal datasets Background in failure analysis, quality engineering, or robustness testing for ML‑driven systems Must be comfortable working with sensitive or potentially offensive content PREFERRED QUALIFICATIONS BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience Proven success contributing in a highly cross‑functional environment Experience shipping complex AI systems at global scale Background in model explainability, uncertainty estimation, or interpretability Curiosity and research interest in fairness, bias, and the societal impacts of generative AI Passion for building innovative, high‑impact products that draw upon interdisciplinary skills

Requirements

3+ years of proven ability in machine learning, including work with generative models
Proficiency in Python and data science libraries (e.g. Pandas)
Strong skills in data analysis, visualization, and applied ML workflows
Excellent interpersonal skills and proven ability to translate sophisticated technical insights
Strong analytical and independent problem-solving skills, with ability to navigate ambiguity

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

Python Pandas Transformers LLMs VLMs NLP Computer Vision

Applied AI Security Architect

Anthropic

Full Time

GBP 190k - GBP 225k

3 days ago

Worldwide

Senior

Compliance

Networking

Data Architecture

+5 more

Job Description

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI Security Architect, you will serve as Anthropic's trusted security expert for our most demanding enterprise customers. You'll engage directly with CISOs, security architects, compliance officers, and technical leaders at the largest financial institutions, insurers, and other highly regulated enterprises across EMEA to address their most critical questions about deploying Claude safely and securely — including the security capabilities of our latest generations of Claude models. This is a pre-sales technical role focused on security, compliance, networking, and data architecture. Your job is to walk into a room full of security professionals and demonstrate deep expertise in enterprise security, regulatory compliance, and data protection. Whether you've been a Security Architect, Solutions Architect, Field CTO, or senior pre-sales engineer, what matters is that you understand how large European institutions evaluate and adopt technology, and can speak credibly to their security and compliance concerns. This is a senior role: you will own our most complex and escalated security conversations in the region, often as the decisive technical voice in front of a CISO. We are looking for someone excited to help define how European enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? How do you deploy frontier models in line with GDPR, EU data residency, and the EU AI Act? If working at the intersection of AI adoption and regulated industries excites you, this is the role for you. Responsibilities: Serve as the primary security and compliance expert in customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models. Partner with CISOs, security architects, compliance teams, and DPOs to understand their security requirements and design solutions that meet European regulatory standards (GDPR, EU AI Act, DORA, NIS2, SOC 2, PCI-DSS, and national regulator expectations). Lead technical deep-dives on network architecture, EU data residency, data retention and Zero Data Retention (ZDR) policies, cross-border data transfers, API security, authentication/authorization, audit logging, and integration patterns for regulated environments. Support enterprise security reviews, vendor assessments, and due diligence with detailed technical documentation and expert guidance. Guide customers through EU AI Act readiness, DORA, and NIS2, and position Anthropic within the European competitive landscape. Collaborate with Sales and Applied AI teams from initial conversations through deployment. Partner closely with Anthropic’s product and engineering teams to understand Claude's security capabilities, relay customer feedback, and influence the roadmap. Develop security-focused collateral, reference architectures, and best practices for regulated industries. Travel regularly across EMEA for security workshops, architecture reviews, and strategic account meetings. You may be a good fit if you have: 7+ years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries in EMEA (financial services, insurance, healthcare). Deep technical knowledge of enterprise security concepts: network security, identity and access management, encryption (at rest and in transit), API security, and audit/logging requirements. Deep working knowledge of GDPR (data residency, data retention and Zero Data Retention, international transfers, DPIAs) and strong familiarity with the EU AI Act as it applies to foundation models. Experience navigating compliance frameworks relevant to European financial services and insurance (DORA, NIS2, SOC 2, PCI-DSS, and national regulators' guidance on AI/ML such as FCA/PRA, BaFin, ACPR, FINMA). A track record of leading complex, high-stakes engagements with CISOs, security teams, and compliance officers at large European enterprises. Strong understanding of cloud architecture and deployment models (AWS, Azure, GCP), including VPCs, private endpoints, hybrid connectivity, and the European sovereign cloud landscape. Excellent communication skills: able to explain complex security topics to technical and non-technical audiences. Fluent English; additional European languages are a strong plus. A good understanding of the EMEA enterprise AI market and competitive landscape. The ability to navigate ambiguity and move fast in a rapidly evolving market. A collaborative mindset: sales at Anthropic is a team sport. Excitement about AI's potential to transform highly regulated industries, and a genuine desire to help customers adopt it safely and responsibly. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000—£225,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Requirements

Serve as the primary security and compliance expert in customer engagements
Address technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models
Partner with CISOs, security architects, compliance teams, and DPOs to understand their security requirements
Design solutions that meet European regulatory standards (GDPR, EU AI Act, DORA, NIS2, SOC 2, PCI-DSS, and national regulator expectations)
Lead technical deep-dives on network architecture, EU data residency, data retention and Zero Data Retention (ZDR) policies, cross-border data transfers, API security, authentication/authorization, audit logging, and integration patterns for regulated environments

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off

Skills

Compliance Networking Data Architecture Regulatory Compliance Data Protection Claude Security Architecture Enterprise Security

AI Security Engineer

J.S. Held LLC

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Senior

AI Security

Machine Learning

Python

+4 more

Job Description

Company Description Are you looking to join an organization that is growing and dynamic? What about a high-energy, collaborative environment that rewards hard work? J.S. Held is a global consulting firm that combines technical, scientific, financial, and strategic expertise to advise clients seeking to realize value and mitigate risk. Our professionals serve as trusted advisors to organizations facing high stakes matters demanding urgent attention, staunch integrity, proven experience, clear-cut analysis, and an understanding of both tangible and intangible assets. The firm provides a comprehensive suite of services, products, and data that enables clients to navigate complex, contentious, and often catastrophic situations. Job Description J.S. Held, a global consulting firm providing specialized technical, scientific, financial, and advisory services, is seeking an AI Security Engineer is a senior, hands‑on technical role responsible for designing, engineering, and operationalizing AI security across J.S. Held’s enterprise. This role serves as the central Cyber Security owner for all AI Security, ensuring AI technologies are securely designed, implemented, and operated across AI‑enabled third‑party applications, internal AI agents, models, MCP, RAG architectures, training and fine‑tuning pipelines, and supporting AI platforms. The role balances hands‑on engineering, solution design, and architectural leadership. While expected to influence standards, patterns, and roadmaps, this is not a purely strategic role—the engineer will actively design and enable controls. Role weighting: ~70% AI Security Engineering (primary) ~30% Data Security Engineering (secondary), with emphasis on Microsoft Purview, especially where enterprise data is used by AI systems. Core Responsibilities AI Security Engineering (Primary – ~70%) AI Security Architecture & Guardrails Define and evolve the enterprise AI Security Architecture, guardrails, and security requirements aligned to business objectives. Establish secure‑by‑design patterns across AI development, deployment, and operations, including requirements for hardening, hosting, access control, monitoring, and testing. Platform & Engineering Enablement (Hands‑On) Design and engineer security controls for: AI‑enabled SaaS applications Internal AI agents and automation workflows Model hosting, inference services, APIs, and orchestration layers RAG architectures, vector databases, and embeddings Model training and fine‑tuning pipelines MCP and agent‑to‑agent interaction patterns AI Identity, Authentication & Authorization Extend identity and access principles to non‑human identities and autonomous agents. Treat AI agents as first‑class identities, defining authentication, authorization, lifecycle management, and revocation. Implement delegated and “on‑behalf‑of” authorization patterns to distinguish human‑initiated actions from agent‑initiated actions. Apply least‑privilege and scope‑limiting controls to prevent privilege escalation in automated and multi‑agent workflows. Threat Modeling & Risk Reduction Identify and mitigate AI‑specific risks including data leakage, prompt injection, jailbreaks, model abuse, data poisoning, model extraction, and AI supply‑chain risk. Ensure appropriate security testing and validation is embedded into AI development and deployment workflows. Monitoring & Incident Readiness Define logging, monitoring, and detection requirements for AI systems, models, and agent activity. Partner with SecOps to ensure AI‑related events are observable, auditable, and actionable. Support incident response and post‑incident analysis for AI‑related security events. Cross‑Functional Delivery Work closely with IAM, SecOps, AppSec, GRC, IT engineering, AI platform teams, and business stakeholders to embed security controls where they belong. Data Security Engineering (Secondary – ~30%) Data Protection & Governance Design and enhance enterprise data security controls with a focus on AI‑driven data access. Implement and optimize Microsoft Purview, including data classification, sensitivity labeling, DLP, information protection, and visibility. AI‑Aware Data Security Ensure data security controls are aligned to AI architectures, reducing risk of sensitive data exposure via prompts, agents, outputs, and downstream sharing. Support secure use of enterprise data in RAG pipelines, AI workflows, and training environments. Multi‑Platform Data Flows Contribute to data protection strategies across collaboration platforms, cloud services, and endpoints, ensuring consistent enforcement where possible. Qualifications Required Qualifications This role requires high proficiency in English (verbal and written) due to regular interaction with global stakeholders. It also requires an excellent Wi‑Fi connection with stable internet. Schedule aligned with UK business hours. This usually means working from around 2:00 PM to 11:00 PM IST, to match the 8:30 AM to 5:30 PM GMT workday in the UK. 8+ years of experience in cybersecurity engineering, cloud security, application security, or data security Direct, hands‑on experience with Azure AI Foundry and Copilot Studio in enterprise environments Strong experience securing cloud and SaaS platforms (Azure preferred) Deep understanding of identity, access control, data protection, and secure application/API design Proven ability to translate security requirements into practical, deployable controls Preferred Qualifications Experience securing generative AI, LLM‑based systems, and agentic architectures Experience with Microsoft Copilot Administration, Anthropic and other AI platforms (e.g., OpenAI ecosystems) Experience with Microsoft Purview (sensitivity labels/information protection, DLP, Insider Risk Management) Familiarity with RAG architectures, vector databases, embeddings, and MCP integrations Scripting or automation experience (e.g., Python or PowerShell) to integrate security controls into engineering workflows Strong cross‑functional communication and influence skills Additional Information Some of the Benefits We Have Include J.S. Held understands all our employees are people and sometimes life needs flexibility. We work to always provide an environment that best supports and suits our team’s needs. Our flexible work environment allows employees to work remotely when needed Generous Annual Leave Policy Comprehensive Medical Insurance Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. By submitting your application, you acknowledge that you have read the J.S. Held Online Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as required and described therein. California residents can click here to learn more about the personal information we collect and here to learn about additional privacy rights that may be available. Please explore what we’re all about at www.jsheld.com. EEO and Job Accommodations We embrace diversity and our commitment to building a team and environment that fosters professional and personal enrichment is unwavering. We are greater when we are equal! J.S. Held is an equal opportunity employer that is committed to hiring a diverse workforce. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request for a reasonable accommodation, please email [email protected] and include “Applicant Accommodation” within the subject line with your request and contact information. #LI-SC1 #HP-123 Job Location Type: Remote Department: IT

Requirements

Design and engineer security controls for AI-enabled SaaS applications
Define and evolve the enterprise AI Security Architecture
Establish secure-by-design patterns across AI development, deployment, and operations
Extend identity and access principles to non-human identities and autonomous agents
Implement delegated and 'on-behalf-of' authorization patterns
Apply least-privilege and scope-limiting controls to prevent privilege escalation

Benefits

401k Matching
Certification Support
Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Disability Insurance
Employee Assistance Program

Skills

AI Security Machine Learning Python Microsoft Purview RAG architectures Vector databases Embeddings

Informatica IDMC & AI Governance Lead Developer | 14+ years exp. | Remote |

TMS LLC

Contract

$120,000 - $180,000*

3 days ago

Worldwide

Senior

SQL

Informatica Intelligent Data Management Cloud (IDMC)

Informatica CLAIRE AI

+5 more

Job Description

Job Description Role: IDMC & AI Governance Lead Developer Duration: Long Term Contract Location: Boston, MA (Remote) USC/ GC Preferred. H1B also fine Overview: We are seeking an experienced Senior Informatica IDMC & AI Governance Developer / Lead with over 14 years of experience in enterprise data management, cloud data integration, and governance frameworks. The ideal candidate will have deep expertise in Informatica Intelligent Data Management Cloud (IDMC), strong exposure to Informatica CLAIRE AI, and proven experience implementing enterprise data governance frameworks. This role will be responsible for designing and implementing scalable data management and governance solutions that support analytics, AI initiatives, and regulatory compliance. Responsibilities: Design, implement, and manage enterprise data management solutions using Informatica Intelligent Data Management Cloud (IDMC). Leverage Informatica CLAIRE AI capabilities for intelligent data discovery, metadata management, and automated data governance. Lead the implementation of enterprise data governance frameworks, policies, and standards. Implement and manage Data Catalog, Data Quality, Data Integration, and Master Data Management (MDM) solutions within IDMC. Collaborate with data architects, business stakeholders, and analytics teams to enable trusted data for reporting and AI/ML initiatives. Define and enforce data standards, data stewardship processes, and data lifecycle management. Configure and manage data lineage, metadata management, and data classification using Informatica tools. Support regulatory and compliance initiatives (GDPR, CCPA, etc.) through robust governance implementations. Provide architectural guidance and best practices for cloud data platforms and enterprise data ecosystems. Mentor junior team members and provide technical leadership in Informatica implementations. Required Skills & Qualifications 14+ years of experience in data integration, data management, or data governance. Strong hands-on experience with Informatica Intelligent Data Management Cloud (IDMC) components such as: Cloud Data Integration (CDI) Cloud Data Quality (CDQ) Cloud Data Governance and Catalog (CDGC) Master Data Management (MDM) Experience using Informatica CLAIRE AI for metadata intelligence and automation. Proven experience implementing enterprise data governance frameworks. Strong understanding of data lineage, metadata management, data cataloging, and data quality management. Experience working with cloud platforms (AWS, Azure, or GCP). Good understanding of data architecture, data modeling, and enterprise integration patterns. Experience with SQL, ETL/ELT pipelines, and data warehousing concepts. Strong stakeholder management and communication skills. Preferred Qualifications Informatica certifications related to IDMC or Data Governance. Experience integrating IDMC with enterprise data platforms (Snowflake, Databricks, etc.). Knowledge of AI-driven data management and intelligent automation. Experience working in large-scale enterprise data transformation programs. Additional Information All your information will be kept confidential according to EEO guidelines.

Requirements

14+ years of experience in data integration, data management, or data governance
Strong hands-on experience with Informatica IDMC components
Proven experience implementing enterprise data governance frameworks
Strong understanding of data lineage, metadata management, data cataloging, and data quality management
Experience working with cloud platforms (AWS, Azure, or GCP)
Good understanding of data architecture, data modeling, and enterprise integration patterns
Experience with SQL, ETL/ELT pipelines, and data warehousing concepts
Strong stakeholder management and communication skills

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

SQL Informatica Intelligent Data Management Cloud (IDMC) Informatica CLAIRE AI Cloud Data Integration Cloud Data Quality Cloud Data Governance and Catalog Master Data Management (MDM) ETL/ELT pipelines

Principal Cloud and AI Security Architect

Florida Blue

Full Time

$138.2k - $224.6k

4 days ago

Worldwide

Senior

AI/ML Risks

Model Connectivity & Secure Deployment

AI Lifecycle Security

+5 more

Job Description

The Principal Cybersecurity Architect is responsible for driving enterprise-wide technology security strategy and providing technical expertise to business areas and project teams with an emphasis on implementation of innovative, leading-edge security technology solutions. The ideal candidate will display: Strategic Leadership, Collaboration, and Accomplishments * Proven Track Record of accomplishments and experience leading the design and deployment of AI Architectures (both On-Premise and Public Cloud) and driving and deploying Secure Cloud Adoption on an enterprise scale from Foundational Security Controls to Cloud migrations. Extensive experience migrating from a large scale onprem datacenter to the cloud while maintaining the proper levels of security, compliance and regulatory adherence. * Cross-Functional Communication: Bridging gaps between data scientists, engineers, AI Architects, Cloud Architects, Data Protection professionals, legal, and executive teams. * Security Evangelism: Promoting secure-by-design principles across AI and Cloud initiatives. * Mentorship & Governance: Leading security teams and establishing governance frameworks for AI and Public Cloud adoption. AI-Specific Security Expertise * Understanding of AI/ML Risks: Knowledge of adversarial attacks, model poisoning, data drift, and bias. * Model Connectivity & Secure Deployment: Leadership experience with connecting User Interfaces to LLMs, Retrieval-Augmented Generation “RAG” solutions, Agent to Agent architecture design, and securing Model Context Protocol “MCP” deployments, both on-premise and in the cloud. * AI Lifecycle Security: Securing data pipelines, training environments, inference APIs, and monitoring systems. Enterprise Security Architecture * Zero Trust & Identity Management: Designing architectures that enforce least privilege and secure identity across AI and Cloud systems. * Cloud & Hybrid Security: Expertise in securing AI workloads across AWS and Azure, and on-prem environments. Experience leading the Secure design of Cloud Foundational Controls across AWS and Azure. * Security Design Patterns: Lead architectural requirements and gain consensus on the use of reusable, scalable patterns for secure AI integration. Technical Depth in AI & Cloud Infrastructure * API & Data Security: Securing AI APIs, leading design discussions on strategies to protect data within AI solutions, managing data access controls, designing secure MCP solutions and preventing data leakage. * AI System Integration: Designing secure integration points between AI systems and enterprise platforms. * Public Cloud Integration: Proven track record of driving an Enterprise on Public Cloud Foundational controls and taking a leadership role on Secure Cloud migrations from on-Premise to Public Cloud solutions. * Model Usage Procedures: Designed procedures for organization wide governance on the usage/approval of AI Models. Regulatory & Compliance Knowledge * Healthcare Regulations: Deep familiarity with HIPAA, NIST and emerging AI and Cloud governance frameworks. * Audit & Risk Management: Ability to design systems that meet audit requirements, mitigate compliance risks, and ensuring Public Cloud environments maintain Audit Readiness. What We Require * 6+ years related work experience as an Architect working on progressively complex IT and Cybersecurity projects * Related Bachelor’s degree or additional related equivalent work experience IT related field * Required Licenses and Certifications CISSP - Cert Information Systems Security Prof 180 Days * Expert proficiency in creating architectural designs for gradually complex designs * Expert consulting, negotiating, communicating, consensus building, presentation and facilitation skills * Mastery of a variety of hardware platforms including mainframes, distributed platforms, desktops, and mobile devices. * Expert-level knowledge and experience applying current and emerging technology solutions and trends including security and regulatory industry requirements * Demonstrated decision-making skills related to implementing architecture and design * Knowledge of Project Management Methodologies * Extensive knowledge of development practices of security technologies * Exceptional leadership skills demonstrated through project or technical leadership experience * Expert-level ability to understand overall IT strategy and apply/implement IT strategy in assigned projects/initiatives * Expert-level ability to communicate highly complex technical information clearly and articulately at all levels and audiences. * Extensive experience with defense in depth, trust levels, privileges and permissions What We Prefer * 2 or more years cloud security experience Identity * Access Management experience with employee and consumer identity security * Experience securing API’s Health care industry related experience * Experience using Agile methodology General Physical Demands * Exerting up to 10 pounds of force occasionally to move objects. * Jobs are sedentary if traversing activities are required only occasionally. What We Offer As a Florida Blue employee, you will thrive in our Be Well, Work Well, GuideWell culture where being well as an individual, and working well as a team, are both important in serving our members and communities. To support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to: * Medical, dental, vision, life and global travel health insurance * Income protection benefits: life insurance, short- and long-term disability programs * Leave programs to support personal circumstances * Retirement Savings Plan including employer match * Paid time off, volunteer time off, 10 holidays and 2 well-being days * Additional voluntary benefits available; and a comprehensive wellness program Employee benefits are designed to align with federal and state employment laws. Benefits may vary based on the state in which work is performed. Benefits for intern, part-time and seasonal employees may differ. To support your financial wellbeing, we offer competitive pay as well as opportunities for incentive or commission compensation. We also conduct regular annual reviews with pay for performance considerations for base pay increases. Targeted Annualized Offer Range: $138,200 - $172,800 Annualized Salary Range: $138,200 - $224,600 Final pay will be determined with consideration of market competitiveness, internal equity, and the job-related knowledge, skills, training, and experience you bring. We are an Equal Employment Opportunity employer committed to cultivating a work experience where everyone feels like they belong and can perform at their best in pursuit of our mission. All qualified applicants will receive consideration for employment.

Requirements

Strategic Leadership
Collaboration
Accomplishments
Cross-Functional Communication
Security Evangelism
Mentorship & Governance
Understanding of AI/ML Risks
Model Connectivity & Secure Deployment

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Retirement Plan
Training Budget

Skills

AI/ML Risks Model Connectivity & Secure Deployment AI Lifecycle Security Zero Trust & Identity Management Cloud & Hybrid Security API & Data Security AI System Integration Public Cloud Integration

Model Risk Specialist

Nubank

Full Time

$120,000 - $180,000*

4 days ago

Worldwide

Senior

Machine Learning

Data governance

Model Risk

+5 more

Job Description

About Us Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team! About the Role At Nubank we heavily rely on Data, Machine Learning, and increasingly on Generative and Agentic AI to drive our strategy and deliver the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring the risks associated with our models and AI systems are understood and under control. We are now building a dedicated AI Risk Management capability to address the emerging risks of advanced AI — including LLM-powered and autonomous agentic systems — with a focus on AI quality, model and agent behavior, and the platform controls that keep these systems safe and reliable across internal and customer-facing use cases. This is an individual contributor role, you will both review and assess what first-line teams build, and actively develop tools, playbooks, and analyses to mature our risk practices. You will focus on the infrastructure and data risks that surround model development and deployment: feature engineering and feature stores, MLOps pipelines, model monitoring, deployment platforms, and data governance practices. You will work closely with model and data platform teams to identify, assess, and report risks independently, bringing a second-line perspective without losing technical depth. Responsibilities Infrastructure & Data Risk Assessment Conduct independent reviews of the data and infrastructure environments used for developing, deploying, and monitoring AI/machine learning models, assessing reliability, stability, and fitness for purpose. Evaluate risks across the model lifecycle infrastructure: feature engineering pipelines, feature stores, CI/CD for models, deployment platforms, and model monitoring systems. Assess data governance practices, including data quality, lineage, access controls and identify gaps that could materially impact model behavior or risk. Identify and escalate risks or control gaps proactively across all stages of the model and data platform lifecycle. Controls & Governance Help establish and enhance specific controls and validation practices for data and infrastructure used in model development and deployment. Review and challenge first-line processes, procedures, and controls against internal policies, industry frameworks, and regulatory expectations. Partner with model and data platform teams to define and monitor Key Risk Indicators (KRIs) for infrastructure and data risk. Contribute to the evolution of Nubank's model governance framework with an infrastructure and data lens. Tooling & Playbooks Develop and improve tools, analyses, and playbooks specific to infrastructure and data risk management. Build reporting and monitoring solutions that provide clear, continuous visibility into the health of model infrastructure and data environments. Support internal audit and regulatory inquiries with well-documented, traceable, and reproducible risk assessments. Stakeholder Engagement Discuss and report infrastructure and data risk status, findings, and independent opinions with stakeholders across the organization, including senior managers. Collaborate with model teams, data platform engineers, and governance partners to drive risk-aware design decisions without slowing responsible innovation. Work in a multicultural, diverse, and highly skilled environment. Qualifications Bachelor's or master's degree in computer science, data science, statistics, mathematics, engineering, or a related field. Strong programming skills: Proficiency in Python and SQL; experience with Spark/Scala is a plus. ML infrastructure knowledge: Hands-on familiarity with MLOps practices, CI/CD pipelines for models, feature stores, and cloud-based ML platforms (AWS, GCP, or Azure). Data governance: Understanding of Data Mesh architecture and principles, data lineage, data quality frameworks, and feature governance practices. Model monitoring: Experience with model and data monitoring concepts, including drift detection, pipeline stability, and performance degradation tracking. Good written and verbal communication skills in English Understanding of risk management principles, control design, and governance frameworks (e.g. ERM, COSO); experience in a 2nd or 3rd line of defense is a strong plus. Prior experience in model risk management, model validation, or a data/ML engineering role transitioning into risk (nice to have) Familiarity with model risk frameworks and regulatory expectations (e.g., SR 11-7 / SR 26-2 / OCC 2011-12, NIST AI RMF)-(nice to have) Location & Work Model Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. This position is based in Sao Paulo, Brazil. Benefits Chance of earning equity at Nubank Food/ Meal Card (Vale-Refeição and/or Vale Alimentação) Public Transportation Commuting Benefit (Vale-Transporte) NuCare – Psychological, Financial and Legal Assistance Program Life Insurance Medical Plan Dental Plan NuLanguage – Language Course Program Nucleo - Our learning platform of courses Extended Parental Leave Daycare Allowance Parental Consultancy Work-from-home Allowance Gym Partnerships 30 days of paid vacation Relocation Assistance Package, if applicable

Requirements

Conduct independent reviews of the data and infrastructure environments used for developing, deploying, and monitoring AI/machine learning models
Evaluate risks across the model lifecycle infrastructure: feature engineering pipelines, feature stores, CI/CD for models, deployment platforms, and model monitoring systems
Assess data governance practices, including data quality, lineage, access controls and identify gaps that could materially impact model behavior or risk
Identify and escalate risks or control gaps proactively across all stages of the model and data platform lifecycle
Help establish and enhance specific controls and validation practices for data and infrastructure used in model development and deployment

Benefits

401k Matching
Certification Support
Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Remote Work

Skills

Machine Learning Data governance Model Risk Data Quality Data Lineage MLOps Access Controls Feature Engineering

Staff Product Manager, AI Governance & Supply Chain Integration Risk

Obsidian Security

Full Time

$120,000 - $180,000*

4 days ago

United Kingdom

Staff

AI Governance

Cloud Security

Product Management

+2 more

Job Description

Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we’ve built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we’re transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world’s largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we’re scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! Obsidian Security is looking for a Staff Product Manager, AI Governance & Supply Chain Integration Risk to lead product strategy and execution for how customers understand, prioritize, and reduce risk across their SaaS and third-party ecosystem. We’re looking for a PM who thinks beyond product features and focuses on the key outcomes customers care about most: reducing unknown third-party risk, understanding where AI and agentic capabilities are enabled, prioritizing what matters, making risk explainable, and helping teams take action. As SaaS vendors rapidly add AI and agentic capabilities into their applications, enterprises are struggling to answer basic but critical questions: Is AI enabled in our tenants? What does it do? What data can it access? Who can use it? Which agents, apps, or integrations can act on behalf of users? Is any of this governed consistently? This role is not about managing a feature backlog. It is about identifying the most important customer and business problems, defining the outcomes we need to drive, and partnering with Engineering, Design, Product Marketing, Sales, Solutions Engineering, Customer Success, and leadership to deliver measurable customer value. This role is based in the United Kingdom. Responsibilities Own the product strategy and roadmap for Supply Chain Risk & AI Governance, with a clear focus on customer outcomes and business impact. Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps. Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact. Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and success metrics. Partner deeply with Engineering on solution direction, technical tradeoffs, sequencing, data models, integrations, risk scoring, and workflows. Work with Design to create experiences that make complex SaaS, identity, AI, agent, data access, and third-party risk relationships understandable and actionable. Partner with Product Marketing, Sales, Solutions Engineering, Customer Success, and Support on positioning, launch readiness, field enablement, adoption, and feedback loops. Stay close to customer and market signals around SaaS AI adoption, AI governance, agentic workflows, third-party risk, identity risk, and data exposure. Drive cross-functional alignment, make tradeoffs visible, and push decisions forward in ambiguous situations. Own outcomes beyond launch by measuring whether the work is landing, learning from customer feedback, and adjusting based on results. Required qualifications 7+ years of Product Management experience, ideally in B2B SaaS, cybersecurity, risk, compliance, data, platform, or enterprise software. Strong track record of thinking beyond features to define customer problems, desired outcomes, success metrics, and product strategies that drive measurable impact. Experience owning a product area from strategy through execution, launch, adoption, and iteration. Strong technical fluency, including comfort working with Engineering on APIs, data models, integrations, identity/access systems, event data, permissions, and enterprise architecture. Strong customer and business judgment, with the ability to prioritize high-impact work and make clear tradeoffs. Ability to understand emerging customer problems in AI governance, SaaS risk, data access, and agentic workflows. Proven ability to lead cross-functional teams without formal authority. Excellent written and verbal communication skills. Based in the United Kingdom, with ability to collaborate across UK, European, and US time zones.

Requirements

Own the product strategy and roadmap for Supply Chain Risk & AI Governance
Identify the most important customer problems related to SaaS supply chain risk, third-party access, AI enablement, agentic capabilities, data exposure, and governance gaps
Define success in terms of outcomes such as risk reduction, prioritization quality, adoption, remediation progress, customer value, and revenue impact
Translate customer problems and desired outcomes into clear product requirements, roadmap priorities, and measurable customer value
Partner with Engineering, Design, Product Marketing, Sales, Solutions Engineering, Customer Success, and leadership to deliver measurable customer value

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Paid Time Off
Remote Work

Skills

AI Governance Cloud Security Product Management Supply Chain Risk Management SaaS Security

Principal AI Security Engineer - LATAM & Mexico - English Required

Full Time

$120,000 - $180,000*

4 days ago

Worldwide

Senior

Cloud Security

AI Security

DevSecOps

+4 more

Job Description

Work at DaCodes! We are a software and high-impact digital transformation firm. For the past 10 years, we have developed technology and innovation-driven solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results. At DaCodes, you will have the opportunity to accelerate your professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud-based infrastructures. Our DaCoders play a key role in the success of both our business and our clients. You will be the expert participating in strategic initiatives and will gain exposure to disruptive startups and global brands. Interested? We are looking for a Principal AI Security Engineer to lead the design, implementation, and continuous improvement of security controls across Generative AI, Large Language Models (LLMs), AI agents, and MLOps ecosystems. This role is ideal for a cybersecurity professional with strong cloud security expertise and hands-on experience securing AI-powered platforms and enterprise-scale environments. You will partner closely with engineering, platform, compliance, risk, and security teams to establish AI security best practices, implement governance frameworks, reduce attack surfaces, and ensure the responsible adoption of AI technologies across the organization. The ideal candidate combines deep cybersecurity expertise, cloud-native security knowledge, DevSecOps practices, and a strong understanding of emerging AI threats and mitigation strategies. Key Responsibilities Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms. Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies. Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems. Define and implement controls aligned with: NIST AI Risk Management Framework (AI RMF) ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments. Design incident response procedures and playbooks for AI-related security events. Integrate AI platforms with secrets management, identity management, and cloud-native security solutions. Deploy and maintain observability and monitoring capabilities for AI applications and model behavior. Drive AI governance, security policies, compliance initiatives, and responsible AI adoption. Partner with engineering teams to integrate security into CI/CD pipelines and development workflows. Develop operational metrics, security reporting, and performance dashboards. Participate in on-call rotations supporting critical enterprise platforms. Mentor engineers and security professionals while serving as a subject matter expert on AI security. Desired ProfileExperience 6+ years of experience in Cybersecurity, Cloud Security, DevSecOps, Security Engineering, or related disciplines. 3+ years of experience working with AI, GenAI, LLM, MLOps, or AI platform security. Experience securing enterprise-scale cloud environments. Experience designing and implementing security controls for modern distributed systems and cloud-native architectures. Experience working with compliance, governance, risk, and audit teams. Technical SkillsAI & Security Generative AI Security Large Language Model (LLM) Security AI Governance & Responsible AI AI Threat Modeling Adversarial Testing Prompt Injection Protection Model Security & Risk Management AI Attack Surface Reduction Security Incident Response Security Frameworks NIST AI RMF ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS Security Governance Risk Management Vulnerability Management Cloud & Infrastructure AWS Azure Azure OpenAI AWS Bedrock GCP (preferred) Cloud Security Architecture CSPM / CNAPP Platforms CIEM Solutions DevSecOps & Automation Terraform Git GitHub CI/CD Pipelines GitHub Actions GitLab CI/CD Jenkins Infrastructure as Code (IaC) Development & Data Python, Java, Go, C#, or similar programming languages API Security REST APIs Microservices Architecture RDBMS Platforms Vector Databases System Integrations Operating Systems & Identity Linux Administration Active Directory LDAP Secrets Management Solutions Identity & Access Management (IAM) Soft Skills Strategic thinking Strong analytical and problem-solving skills Leadership and mentoring capabilities Excellent stakeholder management Strong communication skills with technical and non-technical audiences Ownership mindset Ability to influence security decisions across organizations Collaborative and cross-functional teamwork Education Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field. Relevant security and cloud certifications are highly desirable. Additional Requirements Advanced English (spoken and written) – mandatory. Ability to work remotely across distributed teams. Availability to collaborate with teams across LATAM and North America. Experience in enterprise environments with strong governance and compliance requirements is highly preferred. 🚀 Integration into global brands and disruptive startups. 🏠 Remote work/Home office. 📌 If a hybrid or onsite modality is required, you will be informed from the first interview session. ⏰ Schedule aligned with the assigned project/workstream. 📅 Monday to Friday work schedule. 🎂 Day off on your birthday. 🏥 Major medical insurance (applies to Mexico). ❤️ Life insurance (applies to Mexico). 🌎 Multicultural teams. 📚 Access to courses and certifications. 🎤 Meetups with special guests from the IT industry. 🤝 Virtual integration events and communities of interest. 🇺🇸 English classes. 📈 Opportunities across our different business lines. 🏆 Proudly certified as a Great Place to Work.

Requirements

Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
Define and implement controls aligned with NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Cloud Security AI Security DevSecOps NIST AI Risk Management Framework ISO/IEC 42001 MITRE ATLAS OWASP LLM Top 10

Principal AI Security Engineer - LATAM & Mexico - English Required

Full Time

$120,000 - $180,000*

4 days ago

Worldwide

Senior

Cloud Security

AI Security

DevSecOps

+4 more

Job Description

Work at DaCodes! We are a software and high-impact digital transformation firm. For the past 10 years, we have developed technology and innovation-driven solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results. At DaCodes, you will have the opportunity to accelerate your professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud-based infrastructures. Our DaCoders play a key role in the success of both our business and our clients. You will be the expert participating in strategic initiatives and will gain exposure to disruptive startups and global brands. Interested? We are looking for a Principal AI Security Engineer to lead the design, implementation, and continuous improvement of security controls across Generative AI, Large Language Models (LLMs), AI agents, and MLOps ecosystems. This role is ideal for a cybersecurity professional with strong cloud security expertise and hands-on experience securing AI-powered platforms and enterprise-scale environments. You will partner closely with engineering, platform, compliance, risk, and security teams to establish AI security best practices, implement governance frameworks, reduce attack surfaces, and ensure the responsible adoption of AI technologies across the organization. The ideal candidate combines deep cybersecurity expertise, cloud-native security knowledge, DevSecOps practices, and a strong understanding of emerging AI threats and mitigation strategies. Key Responsibilities Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms. Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies. Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems. Define and implement controls aligned with: NIST AI Risk Management Framework (AI RMF) ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments. Design incident response procedures and playbooks for AI-related security events. Integrate AI platforms with secrets management, identity management, and cloud-native security solutions. Deploy and maintain observability and monitoring capabilities for AI applications and model behavior. Drive AI governance, security policies, compliance initiatives, and responsible AI adoption. Partner with engineering teams to integrate security into CI/CD pipelines and development workflows. Develop operational metrics, security reporting, and performance dashboards. Participate in on-call rotations supporting critical enterprise platforms. Mentor engineers and security professionals while serving as a subject matter expert on AI security. Desired ProfileExperience 6+ years of experience in Cybersecurity, Cloud Security, DevSecOps, Security Engineering, or related disciplines. 3+ years of experience working with AI, GenAI, LLM, MLOps, or AI platform security. Experience securing enterprise-scale cloud environments. Experience designing and implementing security controls for modern distributed systems and cloud-native architectures. Experience working with compliance, governance, risk, and audit teams. Technical SkillsAI & Security Generative AI Security Large Language Model (LLM) Security AI Governance & Responsible AI AI Threat Modeling Adversarial Testing Prompt Injection Protection Model Security & Risk Management AI Attack Surface Reduction Security Incident Response Security Frameworks NIST AI RMF ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS Security Governance Risk Management Vulnerability Management Cloud & Infrastructure AWS Azure Azure OpenAI AWS Bedrock GCP (preferred) Cloud Security Architecture CSPM / CNAPP Platforms CIEM Solutions DevSecOps & Automation Terraform Git GitHub CI/CD Pipelines GitHub Actions GitLab CI/CD Jenkins Infrastructure as Code (IaC) Development & Data Python, Java, Go, C#, or similar programming languages API Security REST APIs Microservices Architecture RDBMS Platforms Vector Databases System Integrations Operating Systems & Identity Linux Administration Active Directory LDAP Secrets Management Solutions Identity & Access Management (IAM) Soft Skills Strategic thinking Strong analytical and problem-solving skills Leadership and mentoring capabilities Excellent stakeholder management Strong communication skills with technical and non-technical audiences Ownership mindset Ability to influence security decisions across organizations Collaborative and cross-functional teamwork Education Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field. Relevant security and cloud certifications are highly desirable. Additional Requirements Advanced English (spoken and written) – mandatory. Ability to work remotely across distributed teams. Availability to collaborate with teams across LATAM and North America. Experience in enterprise environments with strong governance and compliance requirements is highly preferred. 🚀 Integration into global brands and disruptive startups. 🏠 Remote work/Home office. 📌 If a hybrid or onsite modality is required, you will be informed from the first interview session. ⏰ Schedule aligned with the assigned project/workstream. 📅 Monday to Friday work schedule. 🎂 Day off on your birthday. 🏥 Major medical insurance (applies to Mexico). ❤️ Life insurance (applies to Mexico). 🌎 Multicultural teams. 📚 Access to courses and certifications. 🎤 Meetups with special guests from the IT industry. 🤝 Virtual integration events and communities of interest. 🇺🇸 English classes. 📈 Opportunities across our different business lines. 🏆 Proudly certified as a Great Place to Work.

Requirements

Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
Define and implement controls aligned with NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Cloud Security AI Security DevSecOps NIST AI Risk Management Framework ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS

Principal AI Security Engineer - LATAM & Mexico - English Required

Full Time

$120,000 - $180,000*

4 days ago

Worldwide

Senior

Cloud Security

AI Security

DevSecOps

+4 more

Job Description

Work at DaCodes! We are a software and high-impact digital transformation firm. For the past 10 years, we have developed technology and innovation-driven solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results. At DaCodes, you will have the opportunity to accelerate your professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud-based infrastructures. Our DaCoders play a key role in the success of both our business and our clients. You will be the expert participating in strategic initiatives and will gain exposure to disruptive startups and global brands. Interested? We are looking for a Principal AI Security Engineer to lead the design, implementation, and continuous improvement of security controls across Generative AI, Large Language Models (LLMs), AI agents, and MLOps ecosystems. This role is ideal for a cybersecurity professional with strong cloud security expertise and hands-on experience securing AI-powered platforms and enterprise-scale environments. You will partner closely with engineering, platform, compliance, risk, and security teams to establish AI security best practices, implement governance frameworks, reduce attack surfaces, and ensure the responsible adoption of AI technologies across the organization. The ideal candidate combines deep cybersecurity expertise, cloud-native security knowledge, DevSecOps practices, and a strong understanding of emerging AI threats and mitigation strategies. Key Responsibilities Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms. Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies. Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems. Define and implement controls aligned with: NIST AI Risk Management Framework (AI RMF) ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments. Design incident response procedures and playbooks for AI-related security events. Integrate AI platforms with secrets management, identity management, and cloud-native security solutions. Deploy and maintain observability and monitoring capabilities for AI applications and model behavior. Drive AI governance, security policies, compliance initiatives, and responsible AI adoption. Partner with engineering teams to integrate security into CI/CD pipelines and development workflows. Develop operational metrics, security reporting, and performance dashboards. Participate in on-call rotations supporting critical enterprise platforms. Mentor engineers and security professionals while serving as a subject matter expert on AI security. Desired ProfileExperience 6+ years of experience in Cybersecurity, Cloud Security, DevSecOps, Security Engineering, or related disciplines. 3+ years of experience working with AI, GenAI, LLM, MLOps, or AI platform security. Experience securing enterprise-scale cloud environments. Experience designing and implementing security controls for modern distributed systems and cloud-native architectures. Experience working with compliance, governance, risk, and audit teams. Technical SkillsAI & Security Generative AI Security Large Language Model (LLM) Security AI Governance & Responsible AI AI Threat Modeling Adversarial Testing Prompt Injection Protection Model Security & Risk Management AI Attack Surface Reduction Security Incident Response Security Frameworks NIST AI RMF ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS Security Governance Risk Management Vulnerability Management Cloud & Infrastructure AWS Azure Azure OpenAI AWS Bedrock GCP (preferred) Cloud Security Architecture CSPM / CNAPP Platforms CIEM Solutions DevSecOps & Automation Terraform Git GitHub CI/CD Pipelines GitHub Actions GitLab CI/CD Jenkins Infrastructure as Code (IaC) Development & Data Python, Java, Go, C#, or similar programming languages API Security REST APIs Microservices Architecture RDBMS Platforms Vector Databases System Integrations Operating Systems & Identity Linux Administration Active Directory LDAP Secrets Management Solutions Identity & Access Management (IAM) Soft Skills Strategic thinking Strong analytical and problem-solving skills Leadership and mentoring capabilities Excellent stakeholder management Strong communication skills with technical and non-technical audiences Ownership mindset Ability to influence security decisions across organizations Collaborative and cross-functional teamwork Education Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field. Relevant security and cloud certifications are highly desirable. Additional Requirements Advanced English (spoken and written) – mandatory. Ability to work remotely across distributed teams. Availability to collaborate with teams across LATAM and North America. Experience in enterprise environments with strong governance and compliance requirements is highly preferred. 🚀 Integration into global brands and disruptive startups. 🏠 Remote work/Home office. 📌 If a hybrid or onsite modality is required, you will be informed from the first interview session. ⏰ Schedule aligned with the assigned project/workstream. 📅 Monday to Friday work schedule. 🎂 Day off on your birthday. 🏥 Major medical insurance (applies to Mexico). ❤️ Life insurance (applies to Mexico). 🌎 Multicultural teams. 📚 Access to courses and certifications. 🎤 Meetups with special guests from the IT industry. 🤝 Virtual integration events and communities of interest. 🇺🇸 English classes. 📈 Opportunities across our different business lines. 🏆 Proudly certified as a Great Place to Work.

Requirements

Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
Define and implement controls aligned with NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Cloud Security AI Security DevSecOps NIST AI Risk Management Framework ISO/IEC 42001 MITRE ATLAS OWASP LLM Top 10

Principal AI Security Engineer - LATAM & Mexico - English Required

Full Time

$120,000 - $180,000*

4 days ago

Worldwide

Senior

Cloud Security

AI Security

DevSecOps

+4 more

Job Description

Work at DaCodes! We are a software and high-impact digital transformation firm. For the past 10 years, we have developed technology and innovation-driven solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results. At DaCodes, you will have the opportunity to accelerate your professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud-based infrastructures. Our DaCoders play a key role in the success of both our business and our clients. You will be the expert participating in strategic initiatives and will gain exposure to disruptive startups and global brands. Interested? We are looking for a Principal AI Security Engineer to lead the design, implementation, and continuous improvement of security controls across Generative AI, Large Language Models (LLMs), AI agents, and MLOps ecosystems. This role is ideal for a cybersecurity professional with strong cloud security expertise and hands-on experience securing AI-powered platforms and enterprise-scale environments. You will partner closely with engineering, platform, compliance, risk, and security teams to establish AI security best practices, implement governance frameworks, reduce attack surfaces, and ensure the responsible adoption of AI technologies across the organization. The ideal candidate combines deep cybersecurity expertise, cloud-native security knowledge, DevSecOps practices, and a strong understanding of emerging AI threats and mitigation strategies. Key Responsibilities Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms. Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies. Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems. Define and implement controls aligned with: NIST AI Risk Management Framework (AI RMF) ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments. Design incident response procedures and playbooks for AI-related security events. Integrate AI platforms with secrets management, identity management, and cloud-native security solutions. Deploy and maintain observability and monitoring capabilities for AI applications and model behavior. Drive AI governance, security policies, compliance initiatives, and responsible AI adoption. Partner with engineering teams to integrate security into CI/CD pipelines and development workflows. Develop operational metrics, security reporting, and performance dashboards. Participate in on-call rotations supporting critical enterprise platforms. Mentor engineers and security professionals while serving as a subject matter expert on AI security. Desired ProfileExperience 6+ years of experience in Cybersecurity, Cloud Security, DevSecOps, Security Engineering, or related disciplines. 3+ years of experience working with AI, GenAI, LLM, MLOps, or AI platform security. Experience securing enterprise-scale cloud environments. Experience designing and implementing security controls for modern distributed systems and cloud-native architectures. Experience working with compliance, governance, risk, and audit teams. Technical SkillsAI & Security Generative AI Security Large Language Model (LLM) Security AI Governance & Responsible AI AI Threat Modeling Adversarial Testing Prompt Injection Protection Model Security & Risk Management AI Attack Surface Reduction Security Incident Response Security Frameworks NIST AI RMF ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS Security Governance Risk Management Vulnerability Management Cloud & Infrastructure AWS Azure Azure OpenAI AWS Bedrock GCP (preferred) Cloud Security Architecture CSPM / CNAPP Platforms CIEM Solutions DevSecOps & Automation Terraform Git GitHub CI/CD Pipelines GitHub Actions GitLab CI/CD Jenkins Infrastructure as Code (IaC) Development & Data Python, Java, Go, C#, or similar programming languages API Security REST APIs Microservices Architecture RDBMS Platforms Vector Databases System Integrations Operating Systems & Identity Linux Administration Active Directory LDAP Secrets Management Solutions Identity & Access Management (IAM) Soft Skills Strategic thinking Strong analytical and problem-solving skills Leadership and mentoring capabilities Excellent stakeholder management Strong communication skills with technical and non-technical audiences Ownership mindset Ability to influence security decisions across organizations Collaborative and cross-functional teamwork Education Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field. Relevant security and cloud certifications are highly desirable. Additional Requirements Advanced English (spoken and written) – mandatory. Ability to work remotely across distributed teams. Availability to collaborate with teams across LATAM and North America. Experience in enterprise environments with strong governance and compliance requirements is highly preferred. 🚀 Integration into global brands and disruptive startups. 🏠 Remote work/Home office. 📌 If a hybrid or onsite modality is required, you will be informed from the first interview session. ⏰ Schedule aligned with the assigned project/workstream. 📅 Monday to Friday work schedule. 🎂 Day off on your birthday. 🏥 Major medical insurance (applies to Mexico). ❤️ Life insurance (applies to Mexico). 🌎 Multicultural teams. 📚 Access to courses and certifications. 🎤 Meetups with special guests from the IT industry. 🤝 Virtual integration events and communities of interest. 🇺🇸 English classes. 📈 Opportunities across our different business lines. 🏆 Proudly certified as a Great Place to Work.

Requirements

Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
Define and implement controls aligned with NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Cloud Security AI Security DevSecOps NIST AI Risk Management Framework ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS

Principal AI Security Engineer - LATAM & Mexico - English Required

Full Time

$120,000 - $180,000*

4 days ago

Worldwide

Senior

Cloud Security

AI Security

DevSecOps

+4 more

Job Description

Work at DaCodes! We are a software and high-impact digital transformation firm. For the past 10 years, we have developed technology and innovation-driven solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results. At DaCodes, you will have the opportunity to accelerate your professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud-based infrastructures. Our DaCoders play a key role in the success of both our business and our clients. You will be the expert participating in strategic initiatives and will gain exposure to disruptive startups and global brands. Interested? We are looking for a Principal AI Security Engineer to lead the design, implementation, and continuous improvement of security controls across Generative AI, Large Language Models (LLMs), AI agents, and MLOps ecosystems. This role is ideal for a cybersecurity professional with strong cloud security expertise and hands-on experience securing AI-powered platforms and enterprise-scale environments. You will partner closely with engineering, platform, compliance, risk, and security teams to establish AI security best practices, implement governance frameworks, reduce attack surfaces, and ensure the responsible adoption of AI technologies across the organization. The ideal candidate combines deep cybersecurity expertise, cloud-native security knowledge, DevSecOps practices, and a strong understanding of emerging AI threats and mitigation strategies. Key Responsibilities Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms. Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies. Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems. Define and implement controls aligned with: NIST AI Risk Management Framework (AI RMF) ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments. Design incident response procedures and playbooks for AI-related security events. Integrate AI platforms with secrets management, identity management, and cloud-native security solutions. Deploy and maintain observability and monitoring capabilities for AI applications and model behavior. Drive AI governance, security policies, compliance initiatives, and responsible AI adoption. Partner with engineering teams to integrate security into CI/CD pipelines and development workflows. Develop operational metrics, security reporting, and performance dashboards. Participate in on-call rotations supporting critical enterprise platforms. Mentor engineers and security professionals while serving as a subject matter expert on AI security. Desired ProfileExperience 6+ years of experience in Cybersecurity, Cloud Security, DevSecOps, Security Engineering, or related disciplines. 3+ years of experience working with AI, GenAI, LLM, MLOps, or AI platform security. Experience securing enterprise-scale cloud environments. Experience designing and implementing security controls for modern distributed systems and cloud-native architectures. Experience working with compliance, governance, risk, and audit teams. Technical SkillsAI & Security Generative AI Security Large Language Model (LLM) Security AI Governance & Responsible AI AI Threat Modeling Adversarial Testing Prompt Injection Protection Model Security & Risk Management AI Attack Surface Reduction Security Incident Response Security Frameworks NIST AI RMF ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS Security Governance Risk Management Vulnerability Management Cloud & Infrastructure AWS Azure Azure OpenAI AWS Bedrock GCP (preferred) Cloud Security Architecture CSPM / CNAPP Platforms CIEM Solutions DevSecOps & Automation Terraform Git GitHub CI/CD Pipelines GitHub Actions GitLab CI/CD Jenkins Infrastructure as Code (IaC) Development & Data Python, Java, Go, C#, or similar programming languages API Security REST APIs Microservices Architecture RDBMS Platforms Vector Databases System Integrations Operating Systems & Identity Linux Administration Active Directory LDAP Secrets Management Solutions Identity & Access Management (IAM) Soft Skills Strategic thinking Strong analytical and problem-solving skills Leadership and mentoring capabilities Excellent stakeholder management Strong communication skills with technical and non-technical audiences Ownership mindset Ability to influence security decisions across organizations Collaborative and cross-functional teamwork Education Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field. Relevant security and cloud certifications are highly desirable. Additional Requirements Advanced English (spoken and written) – mandatory. Ability to work remotely across distributed teams. Availability to collaborate with teams across LATAM and North America. Experience in enterprise environments with strong governance and compliance requirements is highly preferred. 🚀 Integration into global brands and disruptive startups. 🏠 Remote work/Home office. 📌 If a hybrid or onsite modality is required, you will be informed from the first interview session. ⏰ Schedule aligned with the assigned project/workstream. 📅 Monday to Friday work schedule. 🎂 Day off on your birthday. 🏥 Major medical insurance (applies to Mexico). ❤️ Life insurance (applies to Mexico). 🌎 Multicultural teams. 📚 Access to courses and certifications. 🎤 Meetups with special guests from the IT industry. 🤝 Virtual integration events and communities of interest. 🇺🇸 English classes. 📈 Opportunities across our different business lines. 🏆 Proudly certified as a Great Place to Work.

Requirements

Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
Define and implement controls aligned with NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.

Benefits

401k Matching
Certification Support
Flexible Hours
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work

Skills

Cloud Security AI Security DevSecOps NIST AI Risk Management Framework ISO/IEC 42001 OWASP LLM Top 10 MITRE ATLAS

Senior Machine Learning iOS Platform Engineer — Responsible AI and Safety

Full Time

$120,000 - $200,000*

4 days ago

Worldwide