Senior Vice President, Model Governance Manager at BNY Mellon

Staff

API

Cloud

Encryption

+5 more

Job Description

Your work will change lives. Including your own. The Impact You’ll Make Define and lead product security strategy across web, mobile, API, cloud, infrastructure, and container security — conducting threat modeling, risk assessments, and security reviews throughout the development lifecycle with a strong shift-left focus. Embed secure development practices by designing and implementing secure coding standards, encryption, and security testing methodologies in close collaboration with development and ML teams, ensuring products are secure, resilient, and trustworthy. Own Enterprise AI Security end-to-end — from securing LLM integrations, agentic pipelines, and ML model ingestion to defending against AI-specific threats (prompt injection, data poisoning, model extraction, RAG poisoning, ), building AI incident response playbooks, and red-teaming AI systems across Recursion's product surfaces. Secure the AI supply chain and MLOps infrastructure by vetting third-party foundation models, open-source weights, and AI APIs before production integration, and partnering with ML engineering to protect training pipelines, feature stores, and model serving endpoints. Champion compliance and AI governance by operationalizing frameworks such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act requirements — collaborating with legal, privacy, and responsible AI teams to support audits and evolving regulatory expectations. Scale security as a force multiplier by evaluating and deploying security tooling, detecting policy violations, driving security outcomes, and ensuring security initiatives never become a bottleneck to business objectives. Elevate the security culture across the organization by serving as a subject matter expert, mentoring engineering teams, and leading incident response efforts from investigation through mitigation and prevention. Maintain the security foundation through thorough documentation — including security requirements, guidelines, and incident response plans — and hands-on penetration testing and code reviews to simulate and get ahead of real-world threats. The Team You'll Join You will join a growing Information Security team at Recursion, focused on enabling Recursion to decode biology by providing world class technology services that are designed and fit for purpose. You'll collaborate with your teammates and across departments to agree on what the most important challenges and capabilities are, then figure out how to get us there. The Experience You'll Need Education & Tenure: Bachelor's or Master's degree in Computer Science, Information Security, or a related field, with 10+ years of experience in product security or application security and a proven track record securing complex products. Security Fundamentals: Deep understanding of security principles, threats, and countermeasures as they relate to product design and development, with familiarity across standards and frameworks including OWASP, NIST, ISO/IEC 27001, and CVSS-based vulnerability prioritization. Offensive Security & Penetration Testing: Hands-on proficiency with penetration testing frameworks and tools (Metasploit, Burp Suite, Nmap, Wireshark), web application attack techniques (SQL injection, XSS, CSRF, OWASP Top Ten), and the ability to simulate real-world attacks and assess their impact. Secure Development & Engineering: Expertise in one or more programming languages (e.g., Python, Java, C++) with strong command of secure coding practices, encryption standards, and integrating security tooling into CI/CD and development workflows. Enterprise AI Security: Demonstrated experience securing AI/ML systems and LLM-powered or agentic products in production — including familiarity with AI attack surfaces (prompt injection, data poisoning, model extraction, membership inference, RAG poisoning) and hands-on red-teaming of AI pipelines and agentic workflows. AI Frameworks & Supply Chain Risk: Working knowledge of AI security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act) and experience vetting third-party foundation models, open-source weights, and AI APIs as part of a structured supply chain security program. MLOps & Model Security: Familiarity with securing ML infrastructure — including training pipelines, experiment tracking, model registries, and inference endpoints — and designing least-privilege access controls for AI agents with external system or tool access. Leadership & Communication: Excellent communication and influencing skills, with the ability to drive security initiatives across engineering, legal, privacy, and executive stakeholders and mentor teams on security best practices. Certifications (Highly Desirable): CISSP, OSCP, or GWAPT for core security credentialing, plus AI-focused certifications such as GAISC, Offensive ML (OffSec), or cloud provider AI security tracks (AWS/GCP). Working Location & Compensation: Making SLC your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $186,900 to $220,400 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-BO1 #LI-REMOTE The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com, or connect on X and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

Requirements

10+ years of experience in product security or application security
Bachelor's or Master's degree in Computer Science, Information Security, or a related field
Deep understanding of security principles, threats, and countermeasures
Familiarity across standards and frameworks including OWASP, NIST, ISO/IEC 27001
Experience securing complex products
Ability to design and implement secure coding standards
Experience with threat modeling, risk assessments, and security reviews

Benefits

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

Skills

API Cloud Encryption Machine Learning Python NIST Container Security OWASP

AI Governance Analyst 1

Datadog

Full Time

$102k - $130k

20 hours ago

Worldwide

Mid

Process Management

Stakeholder management

Governance Frameworks

+5 more

Job Description

The Opportunity Datadog is hiring a Governance Analyst to focus on the unique challenges of AI Orchestration. This role requires a blend of technical acumen, policy understanding, and process design skills to ensure AI systems operate within lawful and policy-compliant boundaries by design. This person will be instrumental in moving the governance model from process review to continuous, embedded constraint. About the Team The small, high-impact Applied Privacy & Governance team connects engineering, legal, and product development teams to scale governance, embed security, privacy, and AI safety, and ensure compliance. The rise of AI agents is shifting the team into an "orchestration era," making governance a foundational architecture, not just a gate review. The successful candidate will be a hands-on analyst who: Translates regulatory and policy requirements into actionable governance frameworks for AI orchestration systems. Designs and implements process guardrails and controls upstream—within AI orchestration prompts, system architecture, and LLM pipeline design—to ensure continuous governance. Partners with engineering and legal teams to define, monitor, and audit the behavior of AI agents operating at scale. Develops new governance workflows and documentation standards to manage the novel risks of AI-generated code, model behavior, and automated data flows. Audits our AI landscape surface, including AI-generated code, model behavior, and data flow through automated pipelines. Analyzes risk that comes from AI agents operating between human oversight moments, occurring faster and at greater volume. Achieves compliance with external frameworks through Governance-as-Architecture, Model Output Monitoring, Constraint Layer Auditing, and Policy Implementation Workflow. Core expertise includes regulatory knowledge, process, and stakeholder management, plus Policy-to-Architecture Translation, AI Orchestration Process Design, and Risk Auditing. The key areas of focus are: Policy-to-Architecture, AI Governance, Process Design, Risk Auditing, and Stakeholder Alignment. What You'll Do AI Orchestration Governance & Process Design Develop governance standards and policy enforcement for AI-powered features and internal orchestration systems. Design and implement workflows for defining, reviewing, and tracking governance constraints at the prompt, pipeline, and infrastructure level. Define and implement audit surfaces for AI-generated code and model behavior to ensure accountability. Develop monitoring and reporting frameworks for data flows through automated pipelines and LLM tool-use chains. Own the governance lifecycle for new AI features, from risk scoping to operational monitoring. Cross-Functional Partnership & Influence Lead sessions with engineering, product, legal, and compliance to assess risk and design scalable solutions. Act as a consultant, translating complex legal/policy requirements into concrete process steps and architectural needs. Clearly communicate complex AI and governance risk to audiences ranging from engineers to executives. Socialize AI governance best practices, building a culture where compliance is an architectural feature. Policy & Systems Integration Work with Security and Privacy Engineers to ensure policy-as-code systems reflect governance requirements. Contribute to the design of data lifecycle management (deletion, retention, access) processes for AI-driven data. Develop and maintain key governance documentation, including tailored AI governance policies and risk assessment templates. What We're Looking For Must-Haves 3+ years experience in a compliance, governance, program management, or technical analyst role in a high-scale tech environment. Demonstrated ability to translate complex regulations (GDPR, CCPA, etc.) into implementable process controls and system requirements. Experience designing and operationalizing governance, compliance, or risk management workflows for technical teams. Strong cross-functional communication and stakeholder management skills. Comfort operating with ambiguity and driving initiatives without formal authority. Technical literacy: Ability to understand distributed systems (Kafka, Cassandra, Redis) and modern software development/CI/CD pipelines to design integrated controls. Strong Differentiators Direct experience implementing governance controls for AI/ML pipelines or LLM-based product features. Familiarity with orchestration frameworks, AI agent architectures, or tool-use systems (e.g., LangChain). Experience with Policy-as-Code systems or defining requirements for automated compliance scanning. Prior exposure to SDLC governance integration, threat modeling, or privacy impact assessments in a technical capacity. Basic coding/scripting skills (e.g., Python, Go) sufficient to understand code and data flows. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $102,000—$130,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Requirements

Translates regulatory and policy requirements into actionable governance frameworks for AI orchestration systems.
Designs and implements process guardrails and controls upstream—within AI orchestration prompts, system architecture, and LLM pipeline design—to ensure continuous governance.
Partners with engineering and legal teams to define, monitor, and audit the behavior of AI agents operating at scale.
Develops new governance workflows and documentation standards to manage the novel risks of AI-generated code, model behavior, and automated data flows.
Audits our AI landscape surface, including AI-generated code, model behavior, and data flow through automated pipelines.
Achieves compliance with external frameworks through Governance-as-Architecture, Model Output Monitoring, Constraint Layer Auditing, and Policy Implementation Workflow.

Benefits

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

Skills

Process Management Stakeholder management Governance Frameworks Regulatory knowledge Policy implementation AI orchestration systems LLM pipeline design Model behavior

Lead Security Engineer - AI Governance

JPMorgan Chase & Co.

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

AWS

Cloud Security

Security Engineering

+4 more

Job Description

Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers. As a Senior Lead Security Engineer at JPMorganChase within the Enterprise Technology, Data Platforms Team, you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains. Job responsibilities * Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs * Enhances partnership with Application Owners (AOs) to proactively address changes in their applications. Embeds TRC involvement from the design phase (e.g., Quantum replatforming) to ensure compliance from the outset, rather than only at checkpoints. * Provides senior leadership with visibility into key risks and blockers, including forecasting future issues. Ensures this is a standing agenda item in leadership meetings to highlight risks, weaknesses, and support AOs with prioritization. * Takes formal responsibility for AWS module currency reporting and remediation, clarifying accountability for AOs and reducing confusion by embedding this within the risk team. * Establishes closer linkage between the Technology Risk Committee (TRC) and AI Governance, recognizing that technology risk is key to AI governance. Partners with current governance processes to ensure secure deployment of AI use cases and integrates technology AI governance as a core component of the role. * Acts as a key component in vendor onboarding, ensuring proper contract terms, advising on design, and shepherding vendor applications through internal processes. Early engagement prevents misinformation and streamlines onboarding (e.g., Sigma case study). * Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability * Be responsible for triaging based on risk assessments of various threats and managing resources to cover impact of disruptive events Required qualifications, capabilities, and skills * Formal training or certification in software and/or security engineering concepts, with 5+ years of applied experience in enterprise environments. * Proven ability to plan, design, and implement enterprise-level security solutions across diverse technology domains, including cloud and AI. * Deep knowledge of software application development, technical processes, and security controls, with specialization in at least one area such as cloud, artificial intelligence, machine learning, or mobile technologies. * Extensive experience with threat modeling, vulnerability assessment, discovery, and penetration testing, including risk triage and mitigation strategies. * Demonstrated ability to independently tackle complex design and functionality problems, proactively identifying risks and blockers and driving remediation. * Practical experience with cloud-native architectures and AWS environments, including module currency reporting and remediation. * Strong partnership skills, with a track record of collaborating with Application Owners (AOs), senior leadership, and cross-functional teams to embed security and compliance from the design phase through deployment. * Experience establishing and maintaining linkages between technology risk committees and governance functions, ensuring secure deployment and oversight of AI use cases. * Ability to act as a key advisor in vendor onboarding, contract review, and internal process navigation, ensuring early engagement and compliance. Preferred qualifications, capabilities, and skills * Demonstrated experience in AI governance and technology risk management, with a proven ability to bridge governance and risk functions for secure AI deployment. * Strong track record of providing senior leadership with actionable risk insights and supporting prioritization for application owners. * Experience with AWS module currency reporting and remediation, including clear accountability structures. * Ability to partner with application owners and vendors from the design phase, ensuring compliance and preventing misinformation through early engagement. * Experience in vendor onboarding processes, contract review, and internal process navigation. * Advanced proficiency in one or more programming languages, with hands-on experience in secure software development practices. (any specific languages) JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Requirements

5+ years of applied experience in enterprise environments
Proven ability to plan, design, and implement enterprise-level security solutions
Deep knowledge of software application development, technical processes, and security controls
Extensive experience with threat modeling and risk assessments
Ability to work with stakeholders and senior business leaders

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Professional Development
Remote Work
Training Budget

Skills

AWS Cloud Security Security Engineering AI Governance Risk Management Compliance Security Controls

Staff Machine Learning Platform Engineer, AI Evaluation

Apple

Full Time

$120,000 - $200,000*

1 day ago

Worldwide

Staff

Python

Pandas

API design

+5 more

Job Description

Join Apple Services Engineering to build the next generation of AI evaluation systems. We are seeking a staff machine learning platform engineer to lead the architectural design and development of the high availability services and internal tools powering self-service evaluation at scale. You will partner with researchers to operationalize their innovations, transforming complex workflows into intuitive, developer-first platforms. We are looking for builders who thrive in the ambiguity of new initiatives and are passionate about creating scalable infrastructure. DESCRIPTION You will join the engineering team responsible for democratizing AI evaluation across the organization. Your focus will be on developing the developer experience—architecting and implementing the APIs, SDKs, and platform services that turn complex evaluation metrics into simple, self-service calls. You will work hand-in-hand with researchers to operationalize sophisticated measurement techniques, ensuring they scale reliably within our high-availability infrastructure. In this role, you will drive the engineering standards for a new organization, upholding the code quality, automation, and testing rigor required to support the rapid evolution of Generative AI and Agentic systems. MINIMUM QUALIFICATIONS 8+ years of hands-on software engineering experience, with a track record of owning the technical direction of a platform or infrastructure domain. Strong proficiency in the Python ecosystem (e.g., FastAPI, Pydantic, Pandas). You write production-grade code and lead architectural discussions on day one. Customer Obsession & Product Thinking: You have owned the technical roadmap for an internal platform, presented it to senior stakeholders, and shipped against it. You independently translate vague requirements from other teams into concrete engineering specifications and platform roadmaps. Demonstrated experience leading technical partnerships with Data Scientists or Researchers: You have taken research code and shipped it as a production service and built the abstractions, testing frameworks, and deployment pipelines that made the next handoff faster than the last.. Strong expertise in API Design & Platform Infrastructure: You have designed and owned APIs and SDKs that other developers rely on, with a focus on versioning, backward compatibility, and developer experience at scale. Operational excellence background: You have architected and owned CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring (Datadog/Prometheus) for production services, and have been accountable for their reliability. Bachelors in Computer Science or related field, Masters preferred. PREFERRED QUALIFICATIONS Deep familiarity with AI Evaluation Frameworks: You have built, extended, or contributed to modern evaluation tools like DeepEval, Ragas, TruLens, or LangSmith. You understand how to implement and scale model-based evaluation workflows across a large organization. Evaluation Service Deployment: Own the deployment, scaling, and operational health of evaluation services in production - including high-throughput evaluation job orchestration (queueing, prioritization, concurrency, auto-scaling), and defining SLAs for evaluation pipeline latency and availability. Observability & Reliability: Experience instrumenting production ML evaluation pipelines including tracking evaluation job throughput, queue depth, judge model latency SLAs, scoring drift over time, and failure modes specific to non-deterministic LLM-based evaluation workflows. Deep understanding of Generative AI & Agents: You understand the engineering challenges of relying on LLMs and Agents as software components—specifically managing token economics, handling rate limits, and evaluating non-deterministic, multi-step reasoning capabilities. You have built production systems that depend on these components and have solved these problems at scale. Builder Experience: You have thrived in startup-like environments, navigating high ambiguity to deliver complex technical roadmaps from scratch.

Requirements

8+ years of hands-on software engineering experience
Strong proficiency in the Python ecosystem
Customer Obsession & Product Thinking
Demonstrated experience leading technical partnerships with Data Scientists or Researchers
Strong expertise in API Design & Platform Infrastructure
Operational excellence background
Bachelors in Computer Science or related field, Masters preferred

Benefits

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

Skills

Python Pandas API design Docker Kubernetes FastAPI Pydantic Platform Infrastructure

Security Solutions Principal - AI Security

WesBanco Bank, Inc.

Full Time

$170k - $200k

1 day ago

Worldwide

Senior

Cloud Security

Application Security

AWS

+5 more

Job Description

Qualifications & Experience: * 10+ years of experience in cybersecurity, with demonstrated leadership in cloud security, application security, infrastructure or AI/ML security domains * Proven experience leading large-scale security transformations or consulting engagements within complex enterprise environments * Deep expertise in security architecture, threat modeling, and secure system design across cloud-native and AI-driven platforms * Strong understanding of enterprise security frameworks (NIST, ISO, CIS) and regulatory environments * Experience with AI/ML platforms (AWS, Azure, GCP), containerized environments, and infrastructure-as-code * Exceptional communication and executive presence, with the ability to influence both technical and business stakeholders Want to learn more about Consulting & Security Services? Check us out on our platform: https://www.wwt.com/consulting-services [https://www.wwt.com/consulting-services] https://www.wwt.com/category/security-transformation [https://www.wwt.com/category/security-transformation] Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $170,000 to $200,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: * Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program * Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement * Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement * Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All! If you have any questions or concerns about this posting, please email [email protected]. #LI-TB1 Qualifications Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges. Job Summary * Hands-on experience leading & operationalizing enterprise AI security and MLSecOps programs, embedding security across the full lifecycle—from data ingestion and model development to deployment, inference, and continuous monitoring—aligned to business risk, regulatory expectations, and enterprise transformation objectives. * Design and evolve AI security architectures and operating models that address emerging threat vectors such as prompt injection, model supply chain compromise, data poisoning, adversarial attacks, and multi-agent system failures—driving secure-by-design principles across AI, cloud, and digital platforms. * Lead AI-specific threat modeling, risk assessments, and control design, translating complex technical risks into actionable mitigation strategies and enterprise guardrails, while enabling scalable and compliant AI adoption across business units. * Architect and implement end-to-end security controls across AI ecosystems, including data pipelines, model artifacts, vector stores, APIs, and agent frameworks—integrating with identity and access management, monitoring, and enterprise security platforms. * Integrate AI security into enterprise cybersecurity strategy, governance, and operating models—aligning with frameworks such as NIST AI RMF, ISO standards, and industry best practices, while ensuring consistency across DevSecOps, cloud security, and risk management domains. Client Leadership & Strategic Advisory * Serve as a trusted advisor to executive stakeholders, translating AI security risks into business-aligned insights, investment priorities, and transformation roadmaps—enabling secure AI adoption while balancing innovation, resilience, and compliance. * Lead multiple concurrent AI security projects, end-to-end delivery of complex, high-impact programs across enterprise environments. * Develop and deliver executive-level presentations, proposals, and board-ready materials that articulate AI risk posture, security maturity, and strategic recommendations. Engineering & Delivery Excellence * Embed security into AI/ML engineering workflows, including MLOps, DevSecOps, and CI/CD pipelines—ensuring secure development, deployment, and operation of AI systems at scale. * Drive continuous validation of AI systems through adversarial testing, red teaming, and automated assurance—ensuring resilience against manipulation, privacy leakage, unsafe outputs, and model drift. Practice Development & Thought Leadership * Shape and expand AI security offerings and capabilities, contributing to the development of go-to-market strategies, methodologies, and reusable frameworks that differentiate the practice in the market. * Lead business development efforts, including proposal creation, solution design, and client engagement strategy—bringing original thought leadership to each opportunity. * Mentor and develop high-performing teams, fostering technical depth, consulting excellence, and continuous learning across AI security, cloud, and emerging technology domains. * Act as a change agent across client organizations—driving adoption of new security models, influencing stakeholders, and enabling transformation at scale. Collaboration & Ecosystem Integration: * Partner closely with data scientists, engineers, DevOps teams, and governance stakeholders to embed security into AI system design, development, and operations—ensuring secure and scalable implementation. * Work across global, cross-functional teams to establish enterprise standards, reference architectures, and security guardrails for AI and generative AI systems.

Requirements

10+ years of experience in cybersecurity
Proven experience leading large-scale security transformations or consulting engagements
Deep expertise in security architecture, threat modeling, and secure system design
Strong understanding of enterprise security frameworks (NIST, ISO, CIS) and regulatory environments
Experience with AI/ML platforms (AWS, Azure, GCP), containerized environments, and infrastructure-as-code
Exceptional communication and executive presence
Ability to influence both technical and business stakeholders

Benefits

401k Matching
Company Retreats
Conference Budget
Dental Insurance
Disability Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours

Skills

Cloud Security Application Security AWS Azure GCP Infrastructure Security AI/ML Security Containerized Environments

Security Solutions Analyst - AI Security

WesBanco Bank, Inc.

Full Time

$70k - $80k

1 day ago

Worldwide

Entry

Python

AWS

Azure

+5 more

Job Description

Qualifications & Experience * 0–3 years of experience in cybersecurity, IT, software engineering, or a related field * Basic understanding of cybersecurity principles (network security, IAM, application security) * Exposure to cloud platforms (AWS, Azure, or GCP) and/or AI/ML concepts is a plus * Familiarity with scripting or programming (e.g., Python) preferred * Strong analytical, problem-solving, and communication skills * Eagerness to learn and grow in AI security and consulting environments Want to learn more about Consulting & Security Services? Check us out on our platform: https://www.wwt.com/consulting-services [https://www.wwt.com/consulting-services] https://www.wwt.com/category/security-transformation [https://www.wwt.com/category/security-transformation] Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $70,000 to $80,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: * Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program * Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement * Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement * Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All! If you have any questions or concerns about this posting, please email [email protected]. #LI-TB1 Qualifications Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges. Job Summary * Support the implementation and operation of AI security and MLSecOps initiatives across the AI lifecycle, including data ingestion, model development, deployment, and monitoring. * Assist in identifying and analyzing AI-specific risks such as prompt injection, data poisoning, and model misuse, contributing to secure-by-design practices. * Participate in AI security assessments, helping document risks, controls, and mitigation strategies under guidance from senior team members. * Contribute to the implementation of security controls across AI systems, including data pipelines, APIs, and model environments. * Support alignment with enterprise security frameworks and standards such as NIST AI RMF, ISO, and internal governance policies. Key Responsibilities Delivery & Execution * Assist in conducting AI/ML risk assessments, threat modeling exercises, and control evaluations. * Support the deployment and testing of security controls within AI/ML pipelines and cloud environments. * Help monitor AI systems for vulnerabilities, anomalies, and compliance issues. * Contribute to security testing activities such as basic adversarial testing and validation under supervision. Engineering & Technical Support * Work alongside engineers and consultants to integrate security into MLOps and DevOps workflows. * Support secure configuration of cloud-based AI platforms (e.g., AWS, Azure, GCP). * Assist with documentation of system architectures, security requirements, and technical findings. Client Support * Contribute to client deliverables including reports, presentations, and documentation. * Support project teams in meeting deadlines and maintaining quality standards. * Participate in client meetings, capturing notes and action items. Learning & Development * Build foundational knowledge in AI security, cloud security, and cybersecurity frameworks. * Stay informed on emerging AI threats, vulnerabilities, and industry trends. * Participate in internal training and knowledge-sharing initiatives. Collaboration * Work closely with cross-functional teams including developers, engineers, and security professionals. * Support implementation of enterprise AI security standards and best practices.

Requirements

0–3 years of experience in cybersecurity, IT, software engineering, or a related field
Basic understanding of cybersecurity principles (network security, IAM, application security)
Exposure to cloud platforms (AWS, Azure, or GCP) and/or AI/ML concepts is a plus
Familiarity with scripting or programming (e.g., Python) preferred
Strong analytical, problem-solving, and communication skills
Eagerness to learn and grow in AI security and consulting environments

Benefits

401k Matching
Employee Assistance Program
Flexible Hours
Gym Membership
Health Insurance
Paid Time Off
Parental Leave
Remote Work

Skills

Python AWS Azure GCP Cloud Platforms AI/ML Concepts Scripting Programming

Security Solutions Consultant - AI Security

WesBanco Bank, Inc.

Full Time

$130k - $145k

1 day ago

Worldwide

Mid

AWS

Azure

GCP

+5 more

Job Description

Qualifications & Experience * 3–5 years of experience in cybersecurity, with exposure to cloud security, application security, or AI/ML systems * Experience conducting risk assessments, threat modeling, or security architecture reviews * Working knowledge of AI/ML concepts and common security risks in AI systems * Experience with cloud platforms (AWS, Azure, GCP) and modern engineering practices (CI/CD, containers) * Familiarity with security frameworks such as NIST, ISO, or CIS * Strong communication skills with the ability to explain technical concepts to diverse stakeholders * Proven ability to work independently and manage components of client engagements Want to learn more about Consulting & Security Services? Check us out on our platform: https://www.wwt.com/consulting-services [https://www.wwt.com/consulting-services] https://www.wwt.com/category/security-transformation [https://www.wwt.com/category/security-transformation] Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $130,000 to $145,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: * Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program * Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement * Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement * Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All! If you have any questions or concerns about this posting, please email [email protected]. #LI-TB1 Qualifications Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges. Job Summary * Contribute to the design and delivery of AI security and MLSecOps programs, embedding security across the AI lifecycle from development through deployment and monitoring. * Analyze and mitigate AI-specific threats including prompt injection, model supply chain risks, adversarial attacks, and data leakage. * Execute AI threat modeling, risk assessments, and control design, translating technical risks into actionable recommendations. * Implement and optimize security controls across AI ecosystems, including data pipelines, APIs, model artifacts, and vector databases. * Support integration of AI security into enterprise cybersecurity programs aligned with frameworks such as NIST AI RMF, ISO, and CIS. Key Responsibilities Client Delivery * Execute AI security engagements, including assessments, architecture reviews, and control implementations. * Contribute to development of client deliverables, including risk assessments, security architectures, and remediation roadmaps. * Collaborate with client stakeholders to support secure AI adoption and compliance. Technical & Engineering Execution * Implement AI security controls within MLOps, DevSecOps, and CI/CD pipelines. * Conduct threat modeling and security assessments for AI systems and supporting infrastructure. * Perform adversarial testing, vulnerability analysis, and validation of AI models and systems. * Support secure deployment of AI systems in cloud and hybrid environments. Strategic Support * Translate technical findings into business-relevant insights and recommendations. * Assist in aligning AI security initiatives with enterprise risk management and governance structures. * Contribute to the development of reusable methodologies, templates, and frameworks. Collaboration & Mentorship * Work with cross-functional teams including data scientists, engineers, and risk professionals. * Provide guidance and informal mentorship to junior analysts. * Support knowledge sharing and capability development within the team. Practice Development * Contribute to proposals, solution design, and business development efforts. * Stay current on emerging AI security risks, technologies, and regulatory developments. * Support development of thought leadership materials and internal assets.

Requirements

3–5 years of experience in cybersecurity
Experience conducting risk assessments, threat modeling, or security architecture reviews
Working knowledge of AI/ML concepts and common security risks in AI systems
Experience with cloud platforms (AWS, Azure, GCP) and modern engineering practices (CI/CD, containers)
Familiarity with security frameworks such as NIST, ISO, or CIS
Strong communication skills with the ability to explain technical concepts to diverse stakeholders
Proven ability to work independently and manage components of client engagements

Benefits

401k Matching
Employee Assistance Program
Flexible Hours
Gym Membership
Health Insurance
Paid Time Off
Parental Leave
Profit Sharing

Skills

AWS Azure GCP CI/CD NIST CIS Containers ISO

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

GuidePoint Security

Full Time

$120,000 - $180,000*

2 days ago

United States

Worldwide

Mid

AI/ML

Security

Threat modeling

+5 more

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

Requirements

Advise on and assess the security posture of AI/ML systems
Lead threat modeling exercises specific to AI workloads
Advise internal teams on securely integrating SaaS AI services and APIs
Evaluate and recommend controls for data ingestion pipelines
Serve as a trusted security advisor bridging business stakeholders
Stay Current on AI Threat Landscape

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work
Training Budget

Skills

AI/ML Security Threat modeling Cloud Security Vulnerability management OWASP LLM Top 10 MITRE ATLAS Architecture

AI Governance Specialist (Retail Domain)

Glint Tech Solutions LLC

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

MLOps tools

SQL

Python

+4 more

Senior Assistant Vice President- AI Security Engineering

EXL

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Security

Engineering

Job Description

* Demonstrated ability to lead secure AI engineering at enterprise and multi-client scale * Strong balance of technical depth, risk judgment, and executive communication * Proven effectiveness operating in global, regulated, client-delivery environments * Credibility with both deeply technical teams and non-technical executive stakeholders EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com [http://www.exlservice.com/]. EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers. EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Requirements

Lead secure AI engineering at enterprise and multi-client scale
Strong balance of technical depth, risk judgment, and executive communication
Proven effectiveness operating in global, regulated, client-delivery environments
Credibility with both deeply technical teams and non-technical executive stakeholders

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

AI Security Engineering

Quant Model Risk Analyst/Associate - Equities

JPMorgan Chase & Co.

Full Time

$100,000 - $150,000*

2 days ago

Worldwide

Mid

probability theory

stochastic processes

statistics

+5 more

Job Description

Are you ready to make a significant impact in the world of model risk management? At Model Risk Governance and Review Group (MRGR), we are at the forefront of assessing and mitigating model risks across the globe. With a presence in major financial hubs like New York, London, Mumbai, and Paris, our team collaborates with top professionals in Risk, Finance, and Model Development. This is your chance to work in a dynamic environment, gain exposure to various business areas, and contribute to critical decision-making processes. As a Model Risk Analyst/Associate in the Model Risk Governance and Review team, you will play a crucial role in reviewing equity derivatives models and enhancing model risk governance. You will collaborate with model developers, trading desks, and risk professionals to ensure the soundness and suitability of complex pricing models. Together, we will drive innovation and maintain robust model risk controls. Job responsibilities * Analyze the conceptual soundness of complex pricing models and reserve methodologies. * Develop and implement alternative model benchmarks and performance metrics. * Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage. * Maintain model risk control apparatus and serve as the first point of contact for the coverage area. Required qualifications, capabilities, and skills * Excellence in probability theory, stochastic processes, statistics, and numerical analysis. * Strong understanding of option pricing theory and quantitative models for derivatives. * Experience with Monte Carlo and numerical methods. * Strong analytical and problem-solving abilities. * MSc or equivalent in a relevant field. * Proficiency in C/C++ programming and Python. * Inquisitive nature with excellent communication skills. * Teamwork-oriented mindset. Preferred qualifications, capabilities, and skills * Experience with equity derivatives J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Requirements

Analyze the conceptual soundness of complex pricing models and reserve methodologies
Develop and implement alternative model benchmarks and performance metrics
Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage
Maintain model risk control apparatus and serve as the first point of contact for the coverage area
Excellence in probability theory, stochastic processes, statistics, and numerical analysis
Strong understanding of option pricing theory and quantitative models for derivatives
Experience with Monte Carlo and numerical methods
Strong analytical and problem-solving abilities

Benefits

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

Skills

probability theory stochastic processes statistics numerical analysis Option pricing theory Python Quantitative Models for Derivatives C/C++ programming

AI Security Engineer - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Python

Adversarial Machine Learning

Enterprise Security Architecture

+5 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in Enterprise Security & Governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Strong written and verbal communication skills

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning Enterprise Security Architecture ISO 27001 RAG ISO 27017 ISO 27701 SOC 2

AI Security Engineer - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Python

Adversarial Machine Learning

Enterprise Security Architecture

+5 more

Job Description

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in Enterprise Security & Governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Strong written and verbal communication skills

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning Enterprise Security Architecture ISO 27001 SOC 2 ISO 27701 ISO 27017 RAG

AI Security Engineer - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Python

Adversarial Machine Learning

Enterprise Security Architecture

+5 more

Job Description

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Fluency in Enterprise Security & Governance
Ability to map technical findings to control frameworks
Comfortable presenting technical risk to executive audiences
Strong written and verbal communication skills

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning Enterprise Security Architecture ISO 27001 SOC 2 ISO 27701 ISO 27017 RAG

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Vector DBs

Fine-tuning Pipelines

Python

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Vector DBs Fine-tuning Pipelines Python Adversarial Machine Learning RAG APIs AI Deployment Architectures

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning AI Deployment Architectures RAG APIs Vector DBs Fine-tuning Pipelines

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning AI Deployment Architectures RAG APIs Vector DBs Fine-tuning Pipelines

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning AI Deployment Architectures RAG APIs Vector DBs Fine-tuning Pipelines

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning AI Deployment Architectures RAG APIs Vector DBs Fine-tuning Pipelines

AI Security Architect - AI Red Team (Enterprise)

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Python

Adversarial Machine Learning

AI Deployment Architectures

+4 more

Job Description

The Opportunity We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations. This is not a theoretical research role. This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance. If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that. What You’ll Do Design and lead adversarial testing of LLM and AI-driven systems Conduct threat modelling across model, infrastructure and data layers Execute and oversee testing for: Prompt injection Jailbreaking Model exploitation Data leakage / extraction RAG system manipulation Translate findings into structured, audit-ready documentation Map vulnerabilities and remediation pathways to: ISO 27001 controls SOC 2 Trust Service Criteria ISO 27701 privacy controls ISO 27017 cloud security controls Partner closely with engineering, security, and compliance functions Present findings clearly to executive leadership This role ensures AI security findings integrated into enterprise governance frameworks. What We’re Looking For Core Technical Depth Strong understanding of adversarial machine learning Experience red teaming LLM or AI systems Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines) Strong Python proficiency Enterprise Security & Governance Fluency Experience working within ISO 27001 environments Practical knowledge of SOC 2 Trust Service Criteria Understanding of ISO 27701 privacy extensions Familiarity with ISO 27017 cloud security controls Ability to map technical findings to control frameworks Communication & Documentation Ability to produce clear, structured, audit-friendly documentation Comfortable presenting technical risk to executive audiences Strong written and verbal communication skills Who You Are Systems thinker Curious and adversarial in mindset Comfortable identifying uncomfortable truths Autonomous and fast-moving Enterprise-aware, not just technically strong Able to operate independently under executive leadership You understand that security is about both breaking systems and integrating findings into operational and compliance posture. Comprehensive Private Medical Coverage Support for Mental Health Expenses Life Insurance Options Attractive Compensation Package

Requirements

Strong understanding of adversarial machine learning
Experience red teaming LLM or AI systems
Deep familiarity with AI deployment architectures
Strong Python proficiency
Enterprise Security & Governance Fluency

Benefits

Life Insurance

Skills

Python Adversarial Machine Learning AI Deployment Architectures RAG APIs Vector DBs Fine-tuning Pipelines

Responsible AI Officer

BDO

Full Time

$100,000 - $150,000*

2 days ago

Netherlands

Senior

Machine Learning

Risk Management

+2 more

Job Description

Beschrijving van het bedrijf Wil jij als Responsible AI Officer van echte waarde zijn? Zo werkt het bij BDO: Aandacht kunnen geven aan wat jij echt belangrijk vindt en zo het verschil maken. BDO DTS, de IT afdeling, is de plek waar jij dit samen met jouw collega’s doet. AI is een impactvolle technologie en om deze technologie op een verantwoorde en ethische manier in te zetten is het cruciaal om duurzaam waarde uit AI te halen. Als Responsible AI Officer fungeer je als het centrale aanspreekpunt binnen de organisatie voor verantwoord en ethisch gebruik van AI en draag je verantwoordelijkheid voor de eerstelijns risicobeheersing met betrekking tot AI-specifieke risico’s. Je draagt zorg voor de doorontwikkeling, implementatie en handhaving van het AI-beleid. Dit omvat het implementeren en onderhouden van middelen om het AI-beleid gedegen, toegankelijk en uitvoerbaar te maken en te houden. Dankzij je grondige kennis van zowel AI als risicomanagement en je sterke communicatieve vaardigheden, ben je in staat om breed te communiceren en kan je zowel rondom AI zelf als relevante regels en risico’s inhoudelijk de diepte ingaan. Hierdoor kan je meedenken op alle niveaus: van operationeel tot strategisch en van AI-inhoudelijk tot conceptueel. Je hebt korte lijntjes naar privacy- en cybersecurityspecialisten en de BDO AI-hub en AI-kernteamleden. Jij ondersteunt de organisatie bij het in kaart brengen van- en omgaan met AI-specifieke risico’s en je beoordeelt in hoeverre deze gemitigeerd zijn voordat de software live gaat. Ook help je bij het creëren van overzicht rondom AI met het AI-register. Verder zet jij jouw ervaring en overtuigingskracht in voor het 'responsible by design' maken van AI-producten. Je denkt mee over passende en adequate beheersmaatregelen voor AI-specifieke risico’s en ontwikkelstandaarden. Je adviseert waar nodig tijdens de gehele ontwikkel- en beheercyclus en biedt advies op strategisch en operationeel niveau over de ethische inzet van AI. Daarnaast begeleid je de business en staf in het op orde brengen van AI-beheersing en hun verantwoordelijkheden vanuit het AI-beleid. Enkele andere taken van de Responsible AI Officer: Je volgt ontwikkelingen in het AI-domein, van toepassing tot beheersing en nieuwe (wetgevende) kaders, schat de relevantie daarvan in voor BDO en borgt dat deze kennis adequaat landt binnen BDO; Samen met BDO AI Hub collega’s communiceer je over het verantwoord inzetten van AI en geef je inhoudelijke invulling aan opleidingen omtrent het verantwoord inzetten van AI. Functieomschrijving Nú is jouw moment om een bijdrage te leveren. Een bijdrage waar klanten, onze maatschappij en de mensen om je heen echt iets aan hebben. Kom bij BDO. Samen met onze klanten en ruim 3.000 gedreven collega’s maken we impact. Met elkaar maken we deel uit van een wereldwijd netwerk. Midden in Strijp-S vind je veel cultuur, innovatie én ons Eindhovense kantoor. Hiervandaan werken circa 250 professionals. Zij omschrijven zichzelf als creatief, rustig en sportief. Over sportief gesproken: tijdens de jaarlijkse marathon van Eindhoven is er een eigen BDO-fanzone om de sporters aan te moedigen. Bij BDO hebben we oog voor wie jij bent. Wat jij kan. Waarin je als professional nog verder kunt groeien. Dat maakt ons dus vooral nieuwsgierig naar jou. Hoe zet jij bijvoorbeeld jouw kritische blik en standvastigheid in als Responsible AI Officer? Onder aan de streep is het ook belangrijk dat je beschikt over: HBO+ werk- en denkniveau Je hebt enige jaren ervaring als inhoudelijk AI specialist met diepgaande kennis over AI, AI beheersing & governance, of je bent een AI beheersing & governance expert met diepgaande inhoudelijke AI kennis Relevante certificeringen & diploma’s zoals een AI bachelor, master of CAICO certificering zijn een pré Bekend met AI binnen de accountancy- en adviessector (pre). Echte waarde is meer dan geld Bij BDO kan je rekenen op een salaris dat past bij wat je doet én wat je kunt. Tel hierbij op: Veel vrijheid om zelf te kiezen waar en wanneer je werkt. Een contract voor onbepaalde tijd 22 vakantiedagen + 10 flexdagen per kalenderjaar. Wil je nog meer vrije tijd? In overleg kun je extra flexdagen kopen. Een mobilteitsbudget Dit zijn nog maar de eerste 4 punten. Voor een compleet overzicht van de arbeidsvoorwaarden ga naar werkenbijbdo.nl/arbeidsvoorwaarden. Kom werken bij BDO en ga voor echte waarde Reageren op deze vacature? Natuurlijk. Heb jij eerst nog vragen? Karien Bekkers geeft je antwoord via + 31(0)40 269 8219 en/of [email protected]. Opleidingsniveau: Hbo / Wo Interessegebied1: IT & Digital Specialisatie: ICT Standplaats: Eindhoven Doelgroep: Professional Interessegebied: IT & Digital Recruiter op website: Karien Bekkers

Requirements

Responsible AI Officer
AI Governance
Risk Management
Communication
Regulations
AI Policy
AI Compliance

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work
Training Budget

Skills

AI Machine Learning Risk Management Communication Regulations

Responsible AI Officer

BDO

Full Time

$100,000 - $150,000*

2 days ago

Netherlands

Senior

Machine Learning

Risk Management

+2 more

Job Description

Requirements

Responsible AI Officer
AI Governance
Risk Management
Communication
Regulations
AI Policy
AI Compliance

Benefits

Flexible Hours
Gym Membership
Health Insurance
Home Office Budget
Learning Budget
Performance Bonus
Remote Work
Training Budget

Skills

AI Machine Learning Risk Management Communication Regulations

Data & AI Governance Operations Analyst (PMO)

Booking.com

Full Time

$80,000 - $140,000*

2 days ago

Worldwide

Mid

Data governance

Project Management

Data & AI Policy

+4 more

Job Description

About us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world About the team: The Data & AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI to driving excellence in our approach to leveraging secure, trusted, accessible data for data driven decision making through: An overarching Data & AI Policy to include associated standards Data & AI Governance including meta and master data management Data & AI Delivery Governance Data & AI Quality including both technical and business quality measures This enables the maturity of Data and AI capabilities across Booking.com, unlocking data and algorithms as assets for delivering innovative growth opportunities and cost saving operational efficiencies. Role Description: The Data & AI Governance Operations Analyst I is responsible for the governance and project management initiatives within the respective department. The Project Manager role will partner with the various teams within the Department to support, and proactively work with them, to facilitate the work occurring between them and the business units and centralized functions. They will help the teams to scope and plan the projects by helping to document the project goal, KPIs, roadmap and main deliverables. Data & AI Governance Operations Analyst I will ensure that the projects of the respective department teams are managed in a consistent manner, whilst working with the business units & central functions within Booking.com to build engagement and where needed governance over decisions needed for work to be signed off. In some cases, the role requires dealing with external vendors and managing external stakeholders. The Data & AI Governance Operations Analyst I will also help the different teams to mitigate the project risks and dependencies to make sure there is progress towards the project's milestones. First and foremost, the Data & AI Governance Operations Analyst I will ensure the team's roadmaps/plans focus on agreed business priorities, dependencies and strategies – designed based on data and business needs, and deliver against the shared objectives & goals. Key Job Responsibilities and Duties: Contribute to the definition, review, update and own roll-out of the Data & AI Governance framework and related standards and guidelines across the business units. Collaborating with Risk and Compliance to understand Data Governance Risk position and appetite, to communicate, lead and measure mitigation activities and how Data & AI Governance can support the implementation and compliance for Data and AI across Booking. Ensure alignment between Data & AI governance methodology, Data Privacy procedures and requirements, the IT Information Security strategy and any new regulatory compliance such as DMA/ DSA and EU AI Act by working closely with Legal teams. Role Qualifications and Requirements: Data and AI Governance: Data Stewardship: Assist in defining Data Ownership and Stewardship structures, helping ensure clear accountability and supporting the onboarding process for data stewards. Data & AI Governance Principles: Support the application and implementation of Data & AI Governance principles, processes, and standards to help maintain consistent governance practices. Regulatory Compliance: Help ensure compliance with Data & AI regulatory policies, such as GDPR, DMA, SOx, and the EU AI Act, by staying informed about updates and assisting with incorporating them into governance practices. Data & AI Governance Practices: Assist with tasks related to data cataloging, profiling, metadata management, data classification, data lineage, and workflows, helping ensure proper governance of key data elements. Project Management: Craft Methodology and Standards: Apply structured methodology to and lead project/change management activities. E2E Project Management: Lead independently End-to-end (E2E) low/medium [Project/Workstream] and/or support high complexity [Project] from scoping to execution, analysis, recommendation and implementation. Project Initiation and Planning: With limited supervision, drives the program scoping and planning working with different teams and creating associated documentation. Project Implementation and Completion:Drive project plan execution, ensuring project objectives are met on agreed timelines, track and report progress and ensure a project closing and correct handover to Business as usual. Project Governance: With limited supervision design and implement project governance and delivery structure to ensure efficient delivery, communication and decision making Delivery/Impact:Drive the progress and successful delivery or initiatives that bring value to the business. Stakeholder Management: Primary point of contact for Project(s) related queries. Ability to work and productively interact with different stakeholders up to Director level. Success Metrics:Define and measure the success metrics of the Project(s) in scope. Facilitator:Lead independent workshops to support the delivery of the Project(s) Project Management Tooling: Knowledge of Atlassian Jira and Confluence. Experience Requirements: 1+ years of experience around Data Governance, or, alternatively, 2+ years of experience in working with Data, coming from Data Analysis, Business Analysis, Analytical background 2-3 years or relevant project management experience Benefits & Perks - Global Impact, Personal Relevance: Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include: Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country) Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit Living and working in Amsterdam, one of the most cosmopolitan cities in Europe Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide Working in a fast-paced and performance driven culture Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit Promote and drive impactful and innovative engineering solutions Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com Diversity, Equity and Inclusion (DEI) at Booking.com: Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.” We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Application Process: Let’s go places together: How we Hire This role does not come with relocation assistance. Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Requirements

Contribute to the definition, review, update and own roll-out of the Data & AI Governance framework and related standards and guidelines across the business units.
Collaborating with Risk and Compliance to understand Data Governance Risk position and appetite, to communicate, lead and measure mitigation activities and how Data & AI Governance can support the implementation and
Help the teams to scope and plan the projects by helping to document the project goal, KPIs, roadmap and main deliverables.
Ensure that the projects of the respective department teams are managed in a consistent manner, whilst working with the business units & central functions within Booking.com to build engagement and where needed governance over decisions needed for work to be signed off.
Deal with external vendors and managing external stakeholders.
Help the different teams to mitigate the project risks and dependencies to make sure there is progress towards the project's milestones.
Ensure the team's roadmaps/plans focus on agreed business priorities, dependencies and strategies – designed based on data and business needs, and deliver against the shared objectives & goals.

Benefits

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

Skills

Data governance Project Management Data & AI Policy Data & AI Delivery Governance Data & AI Quality Meta and Master Data Management Data & AI Risk Management

AI Security Engineering Manager

Ford Motor Company

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

AI Security

Machine Learning

Cloud Security

+3 more

Senior Manager, Quantum Model Validation

PsiQuantum

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Quantum Physics

Quantum Optics

Photonics

+4 more

Job Description

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. Come join us. Job Summary: Our system architecture team sits at the interface of hardware development, manufacturing, and the quantum architecture to design the first fault-tolerant quantum computer. We are looking for a hands-on technical manager to lead the validation and closure of quantum architectural models against hardware system data - a vital activity in our progress towards this goal. Responsibilities: Lead and actively contribute to projects related to the development of quantum optical system models and their closure against real quantum computing system data. Manage and grow a team of architects providing real-time analysis and feedback to engineering teams regarding quantum hardware behavior. Co-ordinate closely with photonics, electronics, systems and architecture teams to ensure consistent, data-driven descriptions of system architecture and performance are available. Experience/Qualifications: PhD in quantum physics discipline, quantum optics and photonics preferred. 5+ years of relevant academic or industry research experience in quantum computing or quantum information. Knowledge of linear optical quantum computing and its associated error models required. Experience performing or working in close collaboration with quantum optics experiments required. Ability to work across domains and collaborate effectively with multi-disciplinary technical teams across sites & timezones. Experience programming in Python and competent use of collaborative software development tools (e.g., GitHub) is desirable. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to [email protected]. We are not accepting unsolicited resumes from employment agencies.

Requirements

PhD in quantum physics discipline
5+ years of relevant academic or industry research experience
Hands-on technical management experience
Leadership and team management skills
Real-time analysis and feedback skills
Quantum hardware behavior understanding
System architecture and performance analysis skills

Benefits

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

Skills

Quantum Physics Quantum Optics Photonics Silicon Photonics Cryogenic Cooling Fiber-Optic Infrastructure Quantum Computing

Backend Engineer, AI Security

Stripe

Full Time

$156.8k - $285.6k

2 days ago

United States

Canada

Worldwide

Senior

API Experience

Backend Engineering

Machine Learning

+3 more

Job Description

Software Engineer, AI Security Locations: New York, San Francisco, Seattle, or Remote (US/Canada) Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team AI is moving fast and Stripe is moving fast to adopt it. But we need to make sure we do all of this safely, and for most of these tools enterprise-grade security isn't just available off the shelf. That's where the AI security team comes in - we are responsible for building and partnering to create the right security primitives to enable Stripe to move fast safely. This is a team that will be working in the low level components of our AI stack so both infrastructure and security experience are pluses. This space is moving fast so being comfortable with ambiguity and changes in priority are a must. This is a foundational role — you'd be the first engineer on the team. What you'll do Engineers on this team will do a mixture of partnering and advising with teams building AI infrastructure and products, and building security infrastructure primitives for AI. One of our major focuses will be building a security tooling layer that sits in the inference path, providing detection and protection against AI specific threats like prompt injection, jailbreaks, and tool misuse. Responsibilities Build security frameworks integrated with our core AI infrastructure Design and implement defenses against AI specific threats like prompt injection and jailbreaks Collaborate with other engineering teams to ensure Stripe's AI infrastructure and products are built securely Support other engineering teams in integrating security primitives Uphold our high engineering standards and improve our codebase and processes Design and build systems that help define the state of the art for AI security Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 5+ years of software development experience Experience independently designing and developing medium to large projects Experience working collaboratively across multiple engineering teams Experience writing high quality code in a major programming language Ability to drive clear next steps when working in an ambiguous environment Ability to think creatively and reason clearly in a complex problem domain Preferred qualifications Experience developing, deploying, and maintaining reliable infrastructure systems Experience in security engineering Experience building AI agents or LLM-based systems In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. Pay and benefits The annual US base salary range for this role is $156,800 - $285,600. 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. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Requirements

5+ years of software development experience
Experience independently designing and developing medium to large projects
Experience working collaboratively across multiple engineering teams
Ability to drive clear next steps when working in an ambiguous environment
Ability to think creatively and reason clearly in a complex problem domain
Experience developing, deploying, and maintaining reliable infrastructure systems
Experience building security frameworks integrated with core AI infrastructure
Experience designing and implementing defenses against AI specific threats

Benefits

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

Skills

API Experience Backend Engineering Machine Learning Security Python Java

Director, Risk Analytics & Model Risk Management (LCC)

First West

Full Time

CAD 120k - CAD 153.8k

2 days ago

Canada

Worldwide

AI Risk & Controls

Executive

Model Risk Management

Data Management

Stress Testing

+4 more

Job Description

We are currently seeking a Director, Risk Analytics & Model Risk Management to join our team. The Director, Risk Analytics & Model Risk Management reports to the VP, Enterprise Risk Management and provides the leadership to the Risk Analytics & Model Risk Management team. This role assists risk leaders by providing high-quality data, advanced analytics, reporting and risk insights to support the monitoring, risk assessment and decision making related to financial risks, in particular credit risk, market and Liquidity Risk and Capital Risk. The Director drives the development and advancement of analytical capabilities and serves as the primary subject matter expert in model risk management, enterprise stress-testing & scenarios analysis, and is the subject matter expert for data management for the risk team. This position also leads the annual ICAAP process in collaboration with internal stakeholders. Accountabilities 1. Leadership: Provides leadership and direction to the team including recruitment, training and development, establishing annual goals and completing performance management processes. 2. Data Analytics: Collaborates with data owners to identify and select relevant data sources from both internal and external sources to address analytical requirements. Assesses portfolio performance metrics such as delinquency, default, and loss rates to support the monitoring and enhancement of FW’s credit portfolio and offer analytical support for efficient oversight of treasury activities. Manages and maintains data sets required for Climate Risk reporting and analysis. 3. Risk Measurement & Reporting: Develops and oversees statistical and analytical models to quantify risk across financial risks of the Enterprise Risk Management framework. Prepares regular and ad hoc reports as requested by risk leaders, the First West leadership team, and the Board of Directors. 4. Stress Testing: Designs and implements tools and methodologies required for stress testing and analysis related to financial risks. Collaborates with risk leaders to determine scenario assumptions and appropriate methodologies and continuously improve stress testing methodologies to meet changing market dynamics. Lastly, keeps abreast of best practices in stress testing methodology and related regulatory requirements. 5. Model Risk Governance: Leads the enterprise Model Risk Management program, which includes the monitoring, measurement & reporting of model validation, model inventory, and attestations with internal & external stakeholders. Performs and gathers models statistical test results and required analysis to support models’ performance assessment. Prepares appropriate materials to support the Model Risk Oversight and follow-up on action items as required. 6. Data Management: Leads the Data Management program within the second line. Implements robust controls to maintain data completeness and accuracy. Collaborates with internal and external partners to improve the structure, governance of risk data, and identify inconsistencies in the dataset. Stays abreast of data management requirements and best practices. Works closely with other business units to comply with Data Management policy and enhance data security and quality. 7. ICAAP: Leads the ICAAP working group and oversees the annual Internal Capital Adequacy Assessment Process (ICAAP) and conducts scenario analysis as needed. Incorporates OSFI requirements and applies changes to the ICAAP methodology as required. 8. Risk Systems Support: Collaborates with internal partners to ensure systems used by the second line are technically supported and supplied with accurate, high-quality data. Coordinates with IT for system updates and enhancements by providing business analysis and support. Required Skills, Experience & Qualifications * Bachelor’s degree in a quantitative discipline required e.g. Mathematics or Science; masters preferred * Financial, Accounting or Risk Management designation required or an equivalent combination of education and experience * 8-9 years in progressively senior positions within an OSFI regulated financial institutions * Experience in risk management, or analytically focused role, including 5 years leading and developing people required * Experience working with credit portfolio data and resolving data governance challenges. Risk analytics and modeling techniques required * Strong leadership skills (communication, coaching and change management) * Demonstrated written and verbal communication skills, with the ability to interact effectively and build long-term relationships with a wide variety of stakeholders * Strong analytical and problem-solving skills, with the ability to develop creative options and recommendations to improve the overall effectiveness and efficiency of the risk analytics and reporting processes. * Deep understanding of quantitative methods and complex statistical analysis. * Demonstrated advanced knowledge of advanced analytics, modeling and stress-testing. * Experience in running the ICAAP and preparing related reporting. * Demonstrated advanced knowledge of enterprise risk principles within a financial institution, including knowledge of credit, capital, liquidity and market risk * Displays an understanding of risk management principles and activities. * Ensures compliance with all relevant regulations, policies, and standards (e.g. OSFI, FCAC). What’s in it for you: First, we strive to make our team members feel genuinely rewarded. You’ll have: * Mental health coverage and resources * Customizable health benefits, as well as topped-up parental leave * Performance-based compensation, employee banking advantages and group RRSP matching * Vacation time and flexible work arrangements to support your lifestyle We are committed to providing a fair, equitable, and competitive rewards package that reflects the value an individual brings to our organization. The compensation mentioned in this job posting should serve as a guide. The total cash compensation earned may vary based on a variety of factors including bonuses and/or incentives, an individual’s skills and experience, and may correlate with performance in the role. We also provide and encourage opportunities for our employees to make a meaningful impact. After all, as a credit union we’re powered by giving back—in big ways and through small gestures. That's why we offer employees paid time off to volunteer, partner with thousands of local charities, build long-lasting relationships that help our members get ahead and commit to environmental, social and governance (ESG) practices. By joining our team, you’ll be able to elevate your potential. Wherever your own purpose leads, we’re here to support you with award-winning in-house training programs, access to LinkedIn Learning, and reimbursement for external courses to help you get ahead. Take the next step in your career as part of our team. Apply for this opportunity! Candidates, please note: if you are being considered for this role, you will be required to complete a background check, such as employment verification, credit check and criminal record check. Diversity, Equity, Inclusion & Belonging At Tru Cooperative Bank, we embrace diversity regardless of gender identity or expression, sexual orientation, religion, race, ethnicity, age, diverse ability, and any aspect that makes someone unique. Inclusion is woven through our organization, from our employee-led network groups, hiring practices and education programs that address barriers and continually grow our equitable, diverse and inclusive culture. We encourage people who are from equity-deserving groups to apply for a career with us, including women or non-binary people, persons with diverse abilities, Black, Indigenous Peoples, People of Colour and members of 2SLGBTQIA+ communities. If an accommodation would help you during the process of applying or interviewing for a career with us, please let us know how we can assist you, whether it’s preparing materials in an alternate format, booking an accessible meeting room or other arrangement. Your individuality is welcome here. About Us We’re a financial cooperative that does things differently. We provide time-tested advice that helps our members feel optimistic about their future, and we offer comprehensive banking solutions that enable people to confidently reach their goals. With the financial strength and extended branch network of a large financial institution, we maintain local connections to our communities and take a unique grassroots approach to service. Our more than 250,000 members and approximately 1,250 employees operate from 45 branches throughout the province of BC, under the Envision Financial, Valley First, Island Savings and Enderby & District Financial brands. Visit firstwestcu.ca for more information on Tru Cooperative Bank. Please know we appreciate your interest in us but only candidates selected for an interview will be contacted.

Requirements

Leadership and direction to the team
Collaboration with data owners to identify and select relevant data sources
Development and oversight of statistical and analytical models
Design and implementation of tools and methodologies for stress testing
Leadership of the enterprise Model Risk Management program
Implementation of robust controls to maintain data completeness and accuracy
Preparation of regular and ad hoc reports as requested by risk leaders
Collaboration with risk leaders to determine scenario assumptions and appropriate methodologies

Benefits

401k Matching
Health Insurance
Dental Insurance
Disability Insurance
Employee Assistance Program
Flexible Hours
Gym Membership
Paid Time Off

Skills

Model Risk Management Data Management Stress Testing Statistical Analysis Data Visualization Python Risk Analytics

Italian-Speaking AI Evaluation Specialist

Full Time

$0.03k - $0.035k

3 days ago

Worldwide

Senior

Data Annotation

Linguistics

+4 more

Job Description

Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. We are looking for a Italian-Speaking AI Evaluation Specialist to join us as we build cutting-edge technology solutions! This is your opportunity to be part of a team that is committed to delivering best in class service to our customers. In this role, you’ll help assess and improve the quality of AI-generated responses. You will analyze how AI systems interpret and respond to real user queries in Italian, ensuring outputs are accurate, relevant, and culturally appropriate. This is not a translation role—it’s focused on evaluating how AI understands and communicates in Italian. Responsibilities: Evaluate and compare AI-generated responses in Italian Perform side-by-side analysis of outputs from different AI systems Assess responses for accuracy, relevance, clarity, and instruction-following Identify nuances in meaning, tone, and cultural context Apply structured annotation guidelines consistently Work with datasets of real user queries Qualifications: Native or professional fluency in Italian Strong English reading comprehension Analytical thinking and attention to detail Experience with structured evaluation or guidelines Preferred Qualifications: Background in linguistics, translation, or localization Experience with data annotation, AI evaluation, or search relevance Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $30.00 to $35.00 USD/hour, with a midpoint of $32.50 USD/hour. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: [email protected] Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Remote - USA

Requirements

Native or professional fluency in Italian
Strong English reading comprehension
Analytical thinking and attention to detail
Experience with structured evaluation or guidelines
Background in linguistics, translation, or localization
Ability to work with datasets of real user queries
Knowledge of AI systems and their capabilities
Understanding of cultural nuances and context

Benefits

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

Skills

AI Data Annotation Linguistics Translation Italian Structured Annotation Localization

French-Speaking AI Evaluation Specialist

Full Time

$0.03k - $0.035k

3 days ago

Worldwide

Senior

French

Machine Learning

+2 more

Job Description

Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. We are looking for a French-Speaking AI Evaluation Specialist to join us as we build cutting-edge technology solutions! This is your opportunity to be part of a team that is committed to delivering best in class service to our customers. In this role, you’ll help assess and improve the quality of AI-generated responses. You will analyze how AI systems interpret and respond to real user queries in French, ensuring outputs are accurate, relevant, and culturally appropriate. This is not a translation role—it’s focused on evaluating how AI understands and communicates in French. Responsibilities: Evaluate and compare AI-generated responses in French Perform side-by-side analysis of outputs from different AI systems Assess responses for accuracy, relevance, clarity, and instruction-following Identify nuances in meaning, tone, and cultural context Apply structured annotation guidelines consistently Work with datasets of real user queries Qualifications: Native or professional fluency in French Strong English reading comprehension Analytical thinking and attention to detail Experience with structured evaluation or guidelines Preferred Qualifications: Background in linguistics, translation, or localization Experience with data annotation, AI evaluation, or search relevance Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $30.00 to $35.00 USD/hour, with a midpoint of $32.50 USD/hour. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: [email protected] Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Remote - USA

Requirements

Native or professional fluency in French
Strong English reading comprehension
Analytical thinking and attention to detail
Experience with structured evaluation or guidelines
Ability to work with datasets of real user queries

Benefits

401k Matching
Flexible Hours
Health Insurance
Paid Time Off
Remote Work

Skills

French AI Machine Learning Data Annotation Structured Annotation

German-Speaking AI Evaluation Specialist

Full Time

$0.03k - $0.035k

3 days ago

Worldwide

Senior

German

Data Annotation

+4 more

Job Description

Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. We are looking for a German-Speaking AI Evaluation Specialist to join us as we build cutting-edge technology solutions! This is your opportunity to be part of a team that is committed to delivering best in class service to our customers. In this role, you’ll help assess and improve the quality of AI-generated responses. You will analyze how AI systems interpret and respond to real user queries in German, ensuring outputs are accurate, relevant, and culturally appropriate. This is not a translation role—it’s focused on evaluating how AI understands and communicates in German. Responsibilities: Evaluate and compare AI-generated responses in German Perform side-by-side analysis of outputs from different AI systems Assess responses for accuracy, relevance, clarity, and instruction-following Identify nuances in meaning, tone, and cultural context Apply structured annotation guidelines consistently Work with datasets of real user queries Qualifications: Native or professional fluency in German Strong English reading comprehension Analytical thinking and attention to detail Experience with structured evaluation or guidelines Preferred Qualifications: Background in linguistics, translation, or localization Experience with data annotation, AI evaluation, or search relevance Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $30.00 to $35.00 USD/hour, with a midpoint of $32.50 USD/hour. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: [email protected] Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Remote - USA

Requirements

Native or professional fluency in German
Strong English reading comprehension
Analytical thinking and attention to detail
Experience with structured evaluation or guidelines
Background in linguistics, translation, or localization
Ability to work with datasets of real user queries
Apply structured annotation guidelines consistently
Identify nuances in meaning, tone, and cultural context

Benefits

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

Skills

German AI Data Annotation Structured Annotation Linguistics Translation Localization

Chinese-Speaking AI Evaluation Specialist

Full Time

$0.03k - $0.035k

3 days ago

Worldwide

Senior

English

Machine Learning

+3 more

Job Description

Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. We are looking for a Chinese-Speaking AI Evaluation Specialist to join us as we build cutting-edge technology solutions! This is your opportunity to be part of a team that is committed to delivering best in class service to our customers. In this role, you’ll help assess and improve the quality of AI-generated responses. You will analyze how AI systems interpret and respond to real user queries in Chinese, ensuring outputs are accurate, relevant, and culturally appropriate. This is not a translation role—it’s focused on evaluating how AI understands and communicates in Chinese. Responsibilities: Evaluate and compare AI-generated responses in Chinese Perform side-by-side analysis of outputs from different AI systems Assess responses for accuracy, relevance, clarity, and instruction-following Identify nuances in meaning, tone, and cultural context Apply structured annotation guidelines consistently Work with datasets of real user queries Qualifications: Native or professional fluency in Chinese Strong English reading comprehension Analytical thinking and attention to detail Experience with structured evaluation or guidelines Preferred Qualifications: Background in linguistics, translation, or localization Experience with data annotation, AI evaluation, or search relevance Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $30.00 to $35.00 USD/hour, with a midpoint of $32.50 USD/hour. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: [email protected] Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Remote - USA

Requirements

Native or professional fluency in Chinese
Strong English reading comprehension
Analytical thinking and attention to detail
Experience with structured evaluation or guidelines
Ability to work with datasets of real user queries

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work
Training Budget

Skills

English AI Machine Learning Data Annotation Structured Annotation Chinese

Korean-Speaking AI Evaluation Specialist

Full Time

$0.03k - $0.035k

3 days ago

Worldwide

Senior

Machine Learning

Data Annotation

+2 more

Job Description

Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. We are looking for a Korean-Speaking AI Evaluation Specialist to join us as we build cutting-edge technology solutions! This is your opportunity to be part of a team that is committed to delivering best in class service to our customers. In this role, you’ll help assess and improve the quality of AI-generated responses. You will analyze how AI systems interpret and respond to real user queries in Korean, ensuring outputs are accurate, relevant, and culturally appropriate. This is not a translation role—it’s focused on evaluating how AI understands and communicates in Korean. Responsibilities: Evaluate and compare AI-generated responses in Korean Perform side-by-side analysis of outputs from different AI systems Assess responses for accuracy, relevance, clarity, and instruction-following Identify nuances in meaning, tone, and cultural context Apply structured annotation guidelines consistently Work with datasets of real user queries Qualifications: Native or professional fluency in Korean Strong English reading comprehension Analytical thinking and attention to detail Experience with structured evaluation or guidelines Preferred Qualifications: Background in linguistics, translation, or localization Experience with data annotation, AI evaluation, or search relevance Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $30.00 to $35.00 USD/hour, with a midpoint of $32.50 USD/hour. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: [email protected] Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Remote - USA

Requirements

Native or professional fluency in Korean
Strong English reading comprehension
Analytical thinking and attention to detail
Experience with structured evaluation or guidelines
Ability to work with datasets of real user queries

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

AI Machine Learning Data Annotation Structured Annotation Korean

Japanese-Speaking AI Evaluation Specialist

Full Time

$0.03k - $0.035k

3 days ago

Worldwide

Senior

Machine Learning

Data Annotation

+2 more

Job Description

Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. We are looking for a Japanese-Speaking AI Evaluation Specialist to join us as we build cutting-edge technology solutions! This is your opportunity to be part of a team that is committed to delivering best in class service to our customers. In this role, you’ll help assess and improve the quality of AI-generated responses. You will analyze how AI systems interpret and respond to real user queries in Japanese, ensuring outputs are accurate, relevant, and culturally appropriate. This is not a translation role—it’s focused on evaluating how AI understands and communicates in Japanese. Responsibilities: Evaluate and compare AI-generated responses in Japanese Perform side-by-side analysis of outputs from different AI systems Assess responses for accuracy, relevance, clarity, and instruction-following Identify nuances in meaning, tone, and cultural context Apply structured annotation guidelines consistently Work with datasets of real user queries Qualifications: Native or professional fluency in Japanese Strong English reading comprehension Analytical thinking and attention to detail Experience with structured evaluation or guidelines Preferred Qualifications: Background in linguistics, translation, or localization Experience with data annotation, AI evaluation, or search relevance Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $30.00 to $35.00 USD/hour, with a midpoint of $32.50 USD/hour. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: [email protected] Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Remote - USA

Requirements

Native or professional fluency in Japanese
Strong English reading comprehension
Analytical thinking and attention to detail
Experience with structured evaluation or guidelines
Ability to work with datasets of real user queries

Benefits

401k Matching
Health Insurance
Paid Time Off
Remote Work

Skills

AI Machine Learning Data Annotation Structured Annotation Japanese

AI Evaluation & Reliability Engineer (Agents & LLM Systems)

abra

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Senior

Python

LLMs

Evaluation Frameworks

+2 more

Job Description

abra R&D is looking for a AI Evaluation & Reliability Engineer (Agents & LLM Systems)! abra R&D is looking for a AI Evaluation & Reliability Engineer who will take part in building the next-generation agentic analytics platform, the first real-time database optimized for AI agents at scale. We’re looking for a Senior AI Evaluation & Reliability Engineer to define and build how AI agents are measured, validated, monitored, and improved in production. This role sits at the intersection of LLM systems, evaluation research, and production-grade engineering. You will design evaluation methodologies, build LLM-as-a-judge systems, and develop agent-based testing frameworks to ensure correctness, robustness, and reliability of complex multi-agent workflows operating on real-time data. What You’ll Do: Design and implement evaluation frameworks for AI agents and multi-agent systems Build LLM-as-a-judge pipelines to assess correctness, reasoning quality, and output quality Develop agent-based evaluation systems (agents evaluating agents) for scalable testing Define metrics, benchmarks, scorecards, and methodologies for agent reliability and performance Build data-driven evaluation pipelines using synthetic and real-world datasets Identify and analyze failure modes, edge cases, and non-deterministic behaviors Improve agent robustness, consistency, and reliability in production environments Work with tools such as Google ADK, Opik, and related evaluation frameworks Collaborate closely with AI, platform, and database teams to shape agent–data interaction quality Requirements Must have: 4–8+ years of experience in software engineering, AI systems, or evaluation/QA engineering Strong programming skills in Python Hands-on experience working with LLMs in production environments Experience building evaluation systems, automation frameworks, or testing infrastructure Strong understanding of prompt engineering, tool use, and agent behavior Ability to think in terms of metrics, correctness, and system reliability Nice to have: Experience with LLM evaluation frameworks (Opik, LangSmith, etc.) Experience with Google ADK / agent frameworks Experience implementing LLM-as-a-judge or ranking systems Background in data systems, analytics, or real-time pipelines Experience with multi-agent systems Familiarity with statistical evaluation methods or experimentation (A/B testing, scoring systems)

Requirements

4–8+ years of experience in software engineering, AI systems, or evaluation/QA engineering
Strong programming skills in Python
Hands-on experience working with LLMs in production environments
Experience building evaluation systems, automation frameworks, or testing infrastructure
Strong understanding of prompt engineering, tool use, and agent behavior
Ability to think in terms of metrics, correctness, and system reliability

Benefits

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

Skills

Python LLMs Evaluation Frameworks Google ADK Opik

Staff AI Security Engineer

Cribl

Full Time

$128k - $200k

5 days ago

Worldwide

Staff

Secrets Management

Security Architecture

Threat modeling

+5 more

Job Description

Cribl does differently. What does that mean? It means we are a serious company that doesn’t take itself too seriously; and we’re looking for people who love to get stuff done, and laugh a bit along the way. We’re growing rapidly - looking for collaborative, curious, and motivated team members who are passionate about putting customers first. As a remote-first company we believe in empowering our employees to do their best work, wherever they are. As the data engine for IT and Security many of the biggest names in the most demanding industries trust Cribl to solve their most pressing data needs. Ready to do the best work of your career? Join the herd and unlock your opportunity. Why You’ll Love This Role We are seeking a talented and experienced Staff AI Security Engineer to help build Cribl’s new AI Systems team. In this pivotal role, you will design, implement, and operationalize security and governance frameworks that enable rapid AI adoption to scale safely across Cribl’s internal systems and workflows. This is a foundational role on a newly established team tasked with providing the shared infrastructure, security guardrails, and reusable patterns needed to turn AI from fragmented experimentation into durable company capabilities. You will be instrumental in bringing security, governance, and safety to Cribl’s rapidly expanding AI footprint, including API tokens, secrets management, MCP security, shadow AI mitigation, AI telemetry, and compliance readiness. The team’s mandate is to provide the “paved road” for AI at Cribl: secure access, governed integrations, reusable workflows, and a platform that enables teams to move faster without creating security, compliance, or operational risk. This role will be part of the Corporate AI Systems team and will report directly to the Chief Information Security Officer (CISO). It will partner closely with stakeholders across Security, Enterprise Applications, Product, Engineering, IT, Legal, and the various business teams adopting AI to ensure Cribl’s AI capabilities scale securely and pragmatically. As An Active Member Of Our Team, You Will... As the Staff AI Security Engineer, you will be the foundational builder of Cribl’s AI security and governance layer. Your key responsibilities will include: AI Security Architecture & Governance: Define, threat model, and operationalize the security architecture for Cribl’s internal AI platform, including standards, controls, approval patterns, and secure-by-design guidance for AI use cases before they scale into production. Shadow AI Discovery & Remediation: Partner with Business Operations to maintain visibility into AI tools, licenses, API tokens, MCP servers, and ad hoc workflows in use across the company, and monitor for ungoverned or high-risk patterns that require remediation. MCP Security & Registry Management: Own the framework for vetting MCP servers, maintaining an approved registry, defining risk tiers, and enforcing secure connection patterns as MCP adoption expands across teams. Secrets, Identity & Token Protection: Establish secure patterns for secrets management, non-human identities, scoped credentials, OAuth-based access, and token governance to enforce least-privilege access and reduce credential exposure in AI builds. Prompt Injection Defense & Safe Execution Controls: Design and deploy guardrails for prompt injection defense, deterministic validation, human-in-the-loop approvals, and additional controls for high-risk workflows that combine sensitive data, untrusted content, and external action. AI Telemetry, Detection & Incident Response: Partner on building Cribl as the observability backbone for AI systems, including telemetry pipelines, abuse detection, audit trails, threat hunting, and incident response patterns for AI-specific security events. Compliance & Customer Governance Readiness: Partner with Cribl’s Compliance team to drive documentation and control readiness for AI-related obligations and customer scrutiny, including NIST AI RMF, ISO 42001, EU AI Act readiness, AI acceptable use standards, and customer-facing AI governance materials. Secure AI-Assisted Corporate Engineering Enablement: Establish the security controls required for AI-assisted internal development, secure coding practices, secrets management, SCA/SAST/DAST expectations, and review patterns for AI-generated code and workflows. Risk Metrics & Security Effectiveness: Define and track the metrics that matter most for AI security, including shadow AI exposure, control coverage, incident trends, security review turnaround, and reduction of high-risk patterns as the platform scales across the company. We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours. If You’ve Got It - We Want It Staff-level security engineering experience: 7+ years of experience in security engineering, application security, cloud security, identity and access management, detection engineering, or related technical security roles, with a track record of building practical controls that scale. AI security fluency: Strong hands-on experience with modern LLM and agentic systems, including threat models for prompt injection, tool use, model access, RAG, AI coding tools, and API-driven integrations. Identity, secrets, and governance depth: Proven experience with OAuth, service identities, secrets management, RBAC / ABAC / scoped permissions, auditability, and secure-by-default architecture patterns. Security architecture judgment: Experience designing risk-tiered controls, approval models, and protective guardrails that balance innovation with real-world compliance and operational needs. Detection and incident response mindset: Ability to operationalize telemetry, define actionable detections, investigate security signals, and build pragmatic response paths for new threat surfaces. Compliance and customer trust orientation: Familiarity with frameworks and customer expectations relevant to enterprise AI governance, including NIST AI RMF, ISO 42001, SOC 2, GDPR, SOX, or adjacent control environments. Cross-functional communication: Strong written and verbal communication skills, with the ability to simplify risk, controls, and tradeoffs for engineers, business stakeholders, and senior leaders alike. Builder mentality: You are comfortable creating the first version of the registry, the standards, the playbooks, and the guardrails. Ambiguity energizes you. Outcome orientation: You care about materially reducing risk while enabling useful AI adoption. You understand that security only works if it is practical enough to be used. Preferred Qualifications Experience with AI development tools like Claude Code, AWS Bedrock, or similar enterprise AI platforms. Experience with MCP, skills, API security, gateway technologies, or tool-use architectures for AI agents. Familiarity with multi-agent workflow design, workflow security patterns, and human-in-the-loop orchestration controls. Experience with SCA / SAST / DAST, secrets management, SIEM / telemetry pipelines, and secure software delivery controls. Familiarity with enterprise systems such as Salesforce, NetSuite, Workday, Jira, Confluence, Slack, Google Drive, and Glean, especially where AI workflows introduce differentiated risk. Experience operating in a high-growth, remote-first B2B SaaS environment. Comfort partnering closely with Security, IT, GTM Ops, Finance, People, Legal, and Support stakeholders. Good jokes, or maybe better, bad jokes. A love for goats. Salary Range ($128,000 - $200,000) The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus. #LI-KJ1 #LI-Remote Bring Your Whole Self Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us.

Requirements

Design, implement, and operationalize security and governance frameworks for AI adoption
Develop and maintain security architecture for Cribl's internal AI platform
Partner with stakeholders to ensure Cribl's AI capabilities scale securely and pragmatically
Maintain visibility into AI tools, licenses, API tokens, MCP servers, and ad hoc workflows in use across the company
Monitor for ungoverned or high-risk patterns that require remediation
Own the framework for vetting MCP servers, maintaining an approved registry, defining risk tiers, and enforcing secure connection patterns

Benefits

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

Skills

Secrets Management Security Architecture Threat modeling API tokens MCP security Shadow AI mitigation AI telemetry Compliance readiness

AI Security Architect

CIVIE

Full Time

$150k - $185k

5 days ago

Worldwide

Senior

Azure

Threat modeling

Networking

+5 more

Job Description

About the Role We’re looking for an AI Security Architect to define and own the security architecture for a modern platform that combines cloud infrastructure, large language models, and autonomous agents. In this role, you will establish secure-by-design patterns across Azure, AI/LLM systems, and regulated data environments, helping the company scale securely as products and capabilities evolve. This role is ideal for someone who can think across systems, set architectural direction, and partner with engineering and leadership to translate emerging risks into practical, scalable controls. What You’ll Do Define end-to-end security architecture for cloud infrastructure, AI/LLM systems, APIs, and internal platforms Establish security standards, reference architectures, and design patterns for engineering teams Lead architecture reviews for new products, services, and major platform changes Own threat modeling frameworks and guide teams in identifying and mitigating design-level risks Design secure AI/LLM usage patterns, including model access controls, prompt handling, tool-use restrictions, agent isolation, and memory boundaries Define zero trust architectures across identity, network, service-to-service communication, and privileged access Architect data protection strategies including classification, encryption, tokenization, retention, and isolation Partner with engineering leadership to embed security architecture into SDLC, CI/CD, and platform design decisions Guide compliance architecture for regulated environments, including HIPAA, SOC 2, and related frameworks Evaluate and recommend security platforms and controls across cloud, endpoint, identity, application, and AI layers Drive secure multi-tenant and environment isolation strategies where applicable Support leadership on risk strategy, prioritization, and tradeoff decisions across security and product velocity Required Expertise 6+ years of experience in security, cloud security, platform security, or related roles, including significant architecture experience Proven experience designing and reviewing cloud-native security architectures in Microsoft Azure Deep understanding of identity-first security, zero trust principles, and secure distributed systems design Experience designing security controls for AI/ML or LLM-based systems, or equivalent experience securing emerging technologies at scale Strong expertise in threat modeling, security design reviews, and architecture governance Experience defining security standards and scalable patterns across engineering organizations Strong understanding of networking, IAM, encryption, secrets management, and secure application architecture Ability to communicate risk, tradeoffs, and design decisions clearly to both technical and non-technical stakeholders Preferred Qualifications Experience working in HIPAA-regulated environments Experience with infrastructure as code (Terraform, ARM, or similar) Experience securing LLM-based products, agent frameworks, or autonomous systems Familiarity with red teaming AI systems, adversarial testing, or AI abuse scenarios Knowledge of data security practices such as DLP, tokenization, and data governance Experience with container, Kubernetes, and platform security Experience with security architecture reviews at scale in high-growth or enterprise environments Certifications such as CISSP, CCSP, Azure Security Engineer Associate, Azure Solutions Architect Expert, or similar What We’re Looking For A systems thinker who can see across the full platform and design durable security patterns Someone who can make high-impact design decisions under ambiguity Strong influence and collaboration skills across engineering, product, and leadership The ability to balance security rigor with business velocity at a strategic level Curiosity about emerging AI threats and a practical mindset for turning risk into architecture Why Join Us Shape the security architecture of cutting-edge AI systems and agent platforms Drive foundational security decisions with high visibility and ownership Work closely with engineering and leadership on meaningful platform and product challenges Help define how secure AI systems are built in a fast-moving environment We Offer Paid vacation, sick time, and personal days 11 company paid holidays Quarterly UberEats voucher Monthly Fringe benefits Flexible work schedules Education and professional development stipend Health, dental, and vision benefits, with employer HSA contribution Long-term, short-term, and life insurances 401(k) with company match & profit sharing The typical base salary range for this position is $150,000 - $185,000. CIVIE provides equal employment opportunity for all applicants and employees. All qualified applicants will be considered regardless of an individual’s race, color, sex, gender identity or expression, religion, age, national origin, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, military or veteran status, or any other basis protected by federal, state or local laws. If you cannot submit your application due to a disability, please email [email protected]; we will reasonably accommodate individuals with disabilities to the extent required by applicable law.

Requirements

6+ years of experience in security, cloud security, platform security, or related roles
Proven experience designing and reviewing cloud-native security architectures in Microsoft Azure
Deep understanding of identity-first security, zero trust principles, and secure distributed systems design
Experience designing security controls for AI/ML or LLM-based systems
Strong expertise in threat modeling, security design reviews, and architecture governance
Ability to communicate risk, tradeoffs, and design decisions clearly to both technical and non-technical stakeholders

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Remote Work
Stock Options
Training Budget
Wellness Programs

Skills

Azure Threat modeling Networking IAM Encryption AI/LLM systems Security design reviews Architecture governance

Lead Risk Analyst - Model Validation

Full Time

$80,000 - $140,000*

6 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 - $140,000*

6 days ago

United Kingdom

Worldwide