Senior AI Security Engineer II at Principal Financial Group

Senior

Machine Learning

Security

+4 more

Job Description

Requirements

8+ years of professional experience in security, technology, or engineering
Experience designing, implementing, and operating AI enabled and automation solutions end-to-end
Comfortable building new capabilities and operating in evolving environments
Able to navigate ambiguity and help define direction in partnership with leaders and teams
Collaborative, consultative problem-solver who can navigate ambiguity, build alignment, and deliver results across multiple teams

Benefits

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

Skills

AI Machine Learning Security Cloud APIs CI/CD Pipelines Infrastructure as Code

Job Description

Requirements

8+ years of professional experience in security, technology, or engineering
Experience designing, implementing, and operating AI enabled and automation solutions end-to-end
Comfortable building new capabilities and operating in evolving environments
Able to navigate ambiguity and help define direction in partnership with leaders and teams
Collaborative, consultative problem-solver who can navigate ambiguity, build alignment, and deliver results across multiple teams

Benefits

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

Skills

Machine Learning

Security

Cloud

APIs

CI/CD Pipelines

Infrastructure as Code

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

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Salary Range (AI-Estimated)*

$120,000 - $180,000

80% confidence

Posted 9 hours ago

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Principal Engineer, AI Security

Lila Sciences

Full Time

$171k - $230.534k

12 hours ago

Worldwide

Senior

Machine Learning

Security

+5 more

Job Description

Your Impact at LILA As a Principal Security Engineer focused on AI Security, you will define and drive the technical strategy for securing how AI is used across Lila's enterprise. You will operate as a senior individual contributor, partnering with IT and business teams to ensure safe and compliant adoption of AI tools and platforms. While Lila builds AI-powered systems, this role is primarily focused on securing the use of third-party and internally deployed AI tools across the enterprise — ensuring sensitive data, intellectual property, and scientific workflows are protected as AI becomes deeply embedded in how work gets done. What You'll Be Building Enterprise AI Security Strategy — Define and implement security controls and guardrails for the use of AI tools (e.g., LLM APIs, SaaS AI platforms, and internal AI services) across the organization. AI Gateway & Agentic Gateway Security — Design and implement AI gateway controls to manage and monitor access to external and internal AI systems. Secure agentic workflows by enforcing identity, authorization, tool-use constraints, and policy controls for autonomous or semi-autonomous agents. AI Red Teaming & Adversarial Testing — Conduct red teaming and adversarial testing focused on enterprise AI usage, including prompt injection, data exfiltration, jailbreaks, and abuse of connected tools and plugins. Data Protection for AI Usage — Develop and enforce controls to prevent sensitive data leakage through AI systems, including input/output filtering, data classification, tokenization, and secure handling of prompts, embeddings, and outputs. Multi-Layer AI Security (Network, Endpoint, Data) — Integrate AI security into existing enterprise security layers: network visibility and control over AI service access, API traffic inspection, and zero trust enforcement; endpoint security for developer machines, research environments, browsers, and plugins; data layer controls ensuring proper handling of sensitive data when interacting with AI systems. AI Threat Modeling (Enterprise Context) — Develop threat models focused on enterprise AI usage, including risks such as data leakage, prompt injection, model misuse, supply chain risks from AI vendors, and unauthorized agent actions. Vendor & Platform Security — Assess and guide secure adoption of third-party AI vendors and platforms, including evaluating data handling practices, model behavior, and integration risks. Incident Response for AI Usage — Define and support response approaches for AI-related incidents, such as sensitive data exposure, policy violations, or misuse of AI tools. Cross-Functional Technical Leadership — Partner with Legal, Compliance, IT, and Engineering to align AI usage with regulatory requirements, data governance policies, and responsible AI practices. Security Enablement — Contribute to internal guidance and education on safe AI usage, including secure prompting, data handling, and appropriate use of AI tools. Security Tooling & Implementation — Evaluate and implement tooling for AI security, including AI gateways, DLP integrations, monitoring solutions, and policy enforcement mechanisms. What You’ll Need to Succeed 8+ years of experience in information security, with strong expertise in enterprise, cloud, or application security. Hands-on experience designing and implementing security controls in enterprise environments. Familiarity with AI/ML systems and how modern AI tools (LLMs, copilots, APIs) are used in practice. Experience with cloud platforms (AWS/GCP), SaaS security, and zero trust architectures. Experience with data protection technologies (e.g., DLP, data classification, access controls). Practical experience with threat modeling, red teaming, or adversarial testing. Strong communication and influence skills across technical and non-technical stakeholders. Bonus Points For Experience securing enterprise use of LLMs, copilots, or generative AI platforms. Familiarity with AI gateways, prompt filtering, or model interaction controls. Experience evaluating or securing third-party AI vendors and APIs. Background in regulated environments (biotech, healthcare, defense, or government). Experience with browser security, endpoint controls, or SaaS security platforms. Knowledge of privacy-enhancing technologies or confidential computing. Contributions to AI/ML security research or community. Compensation We offer competitive compensation including bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact. Expected Base Salary Range $171,000—$230,534 USD About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Requirements

Define and implement security controls and guardrails for the use of AI tools
Design and implement AI gateway controls to manage and monitor access to external and internal AI systems
Conduct red teaming and adversarial testing focused on enterprise AI usage
Develop and enforce controls to prevent sensitive data leakage through AI systems
Integrate AI security into existing enterprise security layers

Benefits

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

Skills

AI Machine Learning Security Python APIs LLM SaaS AI platforms Internal AI services

Security Product Lead – Product & AI Security

SoFi

Full Time

$163.2k - $280.5k

1 day ago

Worldwide

Lead

API

AI/ML

Security

+4 more

Job Description

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Role Overview The Security Product Lead – Product Security & AI Security is responsible for defining the strategic direction, roadmap, and measurable outcomes for securing the organization's product lifecycle and emerging AI/ML initiatives. This role sits within the Security Strategy & Delivery team and partners closely with the Product Security, Engineering, and Data Science/AI functional leaders and operational teams. This position ensures that Product Security and AI Security capabilities are treated as internal security products—aligned to enterprise risk priorities, supported by a clear roadmap, measured through defined KPIs, and delivered through structured program governance. The role requires strong cross-functional collaboration, strategic thinking, and the ability to influence without direct authority. By proactively embedding security controls into the product development lifecycle (SDLC) and addressing unique risks associated with AI/ML systems, this role directly supports the organization's overarching goal of protecting member trust, safeguarding corporate assets, and ensuring the continued stability and growth of the business. Key Responsibilities Strategy & Roadmap Stewardship Develop and maintain a multi-year strategy and roadmap for Product Security and AI Security capabilities. Align roadmap priorities with enterprise risk objectives, regulatory requirements (e.g., data privacy, AI governance), and evolving attack surface. Identify capability gaps (e.g., secure coding practices, AI model integrity) and define strategic investment opportunities. Translate strategic objectives into structured, sequenced initiatives. Lead Security Due Diligence: Own the end-to-end security assessment process for M&A targets, including technical architecture reviews, vulnerability assessments, security program maturity evaluations, and risk quantification Develop M&A Security Strategy: Define and continuously improve Meta’s M&A security playbook, methodologies, and standards to enable rapid, consistent, and thorough security evaluations Drive Integration Planning: Partner with target companies and internal teams to design secure integration roadmaps that balance speed-to-value with security requirements Manage M&A security assessments and integration roadmaps to design secure integration roadmaps, balancing speed and security Product & Capability Management Define the value proposition and service model for Product Security and AI Security capabilities, including security requirements for all new product features. Establish clear capability maturity targets (e.g., DevSecOps integration level, AI risk mitigation completeness) and continuous improvement plans. Maintain and prioritize a strategic backlog aligned to measurable risk reduction outcomes (e.g., reduction in critical vulnerabilities, secure-by-design adoption). Ensure capabilities are treated as ongoing products with lifecycle ownership, not one-time projects. Translate business priorities, AI adoption strategy, and risk signals into a prioritized portfolio Partner with engineering and product teams to reduce friction and improve predictability Mature Secure SDLC practices and embed automation into CI/CD pipelines Define and track outcome-based metrics (risk reduction, adoption, efficiency) Portfolio & Program Management Own the portfolio view of Product Security & AI Security initiatives within the broader security strategy. Structure and manage strategic programs required to deliver roadmap objectives (e.g., implementing an AI Red Team program, rolling out a new static analysis tool). Define milestones, delivery plans, and success metrics for major initiatives. Track progress against portfolio commitments and escalate risks proactively. Manage cross-functional dependencies across Engineering, Product Management, Data Science, Legal, and other stakeholders. Support quarterly and annual planning cycles, including investment Ensure predictable execution through structured governance and reporting cadence. Cross-Functional Collaboration Partner closely with the Product Security and AI/ML functional leaders and teams to align on priorities and execution sequencing. Collaborate with Engineering, Product Management, Legal, Risk, and Compliance stakeholders. Facilitate stakeholder alignment, trade-off decisions (e.g., security vs. speed), and expectation management. Influence without direct authority to drive secure design principles and manage cross-functional projects to ensure delivery Continuous Improvement & Innovation Monitor industry trends in software supply chain attacks, emerging vulnerabilities (e.g., OWASP Top 10), and AI-specific threats (e.g., model poisoning, prompt injection). Identify opportunities for automation, analytics enhancement, and process optimization within DevSecOps pipelines. Incorporate lessons learned from penetration tests, bug bounty programs, and security audits into roadmap evolution. Qualifications Bachelor’s degree in Computer Science, Cybersecurity, or related discipline. 7+ years of experience in cybersecurity, risk management, or technology strategy roles. Demonstrated experience in Product Security (AppSec), DevSecOps, or AI/ML Security domains. Demonstrated experience building and managing strategic roadmaps tied to measurable outcomes. Experience providing strategic security due diligence and executing cyber security integration for M&A activities. Strong understanding of secure development practices, vulnerability management, and common software security frameworks. Understanding of AI/ML concepts and associated security risks, including data provenance, model integrity, and adversarial machine learning. Strong product mindset with ability to translate strategy into execution. Experience working in matrixed organizations with cross-functional stakeholders. Strong analytical, communication, and executive presentation skills. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [email protected]. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Requirements

Define strategic direction, roadmap, and measurable outcomes for securing the organization's product lifecycle and emerging AI/ML initiatives.
Develop and maintain a multi-year strategy and roadmap for Product Security and AI Security capabilities.
Align roadmap priorities with enterprise risk objectives, regulatory requirements, and evolving attack surface.
Identify capability gaps and define strategic investment opportunities.
Translate strategic objectives into structured, sequenced initiatives.
Lead Security Due Diligence for M&A targets, including technical architecture reviews, vulnerability assessments, security program maturity evaluations, and risk quantification.
Develop M&A Security Strategy and continuously improve Meta's M&A security playbook, methodologies, and standards to enable rapid, consistent, and thorough security evaluations.
Drive Integration Planning and partner with target companies and internal teams to design secure integration roadmaps that balance speed-to-value with security requirements.

Benefits

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

Skills

API AI/ML Security Data Science Engineering Product Development Lifecycle SDLC

Senior AI Security Engineer - Security Operations

The Kroger Co.

Full Time

$120,000 - $180,000*

2 days ago

United States

Worldwide

Senior

AI/ML systems

Cloud Security

Threat Detection

+4 more

Job Description

The Senior AI Security Engineer is responsible for leading and enhancing our Security Operations Center’s capabilities in protecting AI systems, models, data pipelines, and supporting infrastructure. This role will focus on identifying, detecting, investigating, and mitigating threats targeting AI-enabled applications and machine learning environments, while also improving the organization’s overall security posture for AI technologies. The ideal candidate combines deep experience in security operations with hands-on knowledge of AI/ML systems, cloud security, threat detection, incident response, and adversary tactics related to AI platforms. This person will serve as the subject matter expert for AI within the SOC, helping to define monitoring, detections, and leveraging AI in incident response engagements. Plan, design and build of security architectures to ensure strong security posture, compliance with regulations, and safeguard of customer data. Manage information systems security, including disaster recovery, database protection, and software development. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety. From one tiny Cincinnati grocery store more than a century ago, we’ve grown into what today is the nation’s largest grocer with nearly 2,800 stores in 35 states operating under 28 different names. As America’s grocer, we take pride in bringing diverse teams with a passion for food and people together with one common purpose: To Feed the Human Spirit. With a history of innovation, we work tirelessly to create amazing experiences for our customers, communities AND each other, with food at the heart of it all. Here, people matter. That’s why we strive to provide the ingredients you need to create your own recipe for success at work and in life. We help feed your future by providing the value and care you need to grow. If you’re caring, purpose-driven and hungry to learn, your potential is unlimited. Whether you’re seeking a part-time position or a new career path, we’ve got a fresh opportunity for you. Apply today to become part of our Kroger family! What you’ll receive from us: The Kroger Family of Companies offers comprehensive benefits to support your Associate Well-Being, including Physical, Emotional, Financial and more. We'll help you thrive, with access to: * A wide range of healthcare coverage, including affordable, comprehensive medical, dental, vision and prescription coverage, through company plans or collective bargaining agreement plans. * Flexible scheduling in full- and part-time roles with paid time off, including holiday and sick pay based on eligibility and length of service. * Emotional and financial support with free counseling through our Employee Assistance Program and free, confidential financial tools and coaching with Goldman Sachs Ayco. * Valuable associate discounts on purchases, including food, travel, technology and so much more. * Up to $21,000 in tuition reimbursement over your career, through our industry-leading Continuing Education program. * Vast potential for growth, through an abundance of industry-leading training programs and diverse career pathways. For more information about benefits and eligibility, please visit our Benefits Page [https://www.krogerfamilycareers.com/en/sites/CX_2001/pages/5022]!

Requirements

Lead and enhance Security Operations Center's capabilities
Identify, detect, investigate, and mitigate threats targeting AI-enabled applications
Improve organization's overall security posture for AI technologies
Serve as subject matter expert for AI within the SOC
Plan, design and build of security architectures
Manage information systems security
Demonstrate company's core values

Benefits

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

Skills

AI/ML systems Cloud Security Threat Detection Incident Response Security Operations Adversary tactics Machine learning environments

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Manager, Privacy and AI Compliance Program Manager

Momentum

Full Time

$120,000 - $180,000*

7 hours ago

United States

Worldwide

Senior

GDPR

AI Governance

Machine Learning

+3 more

Job Description

Momentum is a respected collection of independent companies, including PMG, Koddi, Further. We serve as a premier global business transformation partner for over 125 of the Fortune 500 brands. With 1,400 global employees and $5B in media spend under management, we foster a fast-growing, values-driven, people-first environment where you can thrive. Our portfolio of companies partners with some of the world’s most iconic and ambitious brands. We combine scalability with a solutions-oriented approach to deliver fast-paced, innovative results for our customers while creating meaningful growth opportunities for our teams. If you are looking for opportunities to grow in your career and are passionate about being at the forefront of data and technology, and driving rapid innovation in the future of commerce, we would love to talk with you about joining Momentum. We believe that a culture of belonging, inclusion, and diversity is key to empowering our team members to thrive both personally and professionally. Living out our values is not just a goal; it's a daily practice! For more information, please visit www.momentum.com. Job Description: Manager, Privacy and AI Compliance Program Manager Company: Momentum Location: Dallas, Texas Department: Legal and Compliance Reports to: Assistant General Counsel – Legal About the Role Momentum is a mid-sized, high growth digital commerce company dedicated to building responsible, data-driven platforms and solutions that power the future of digital commerce. We are seeking an experienced Privacy and AI Compliance Program Manager to strengthen our compliance posture across data protection and artificial intelligence governance. This role is ideal for a privacy and AI compliance program manager with at least 5 years of experience who thrives at the intersection of law, technology, and risk management. The successful candidate will work closely with legal, security, product, and engineering teams to ensure that Momentum’s compliance program scales effectively while enabling innovation. The ideal candidate will thrive bringing out the best from their team, as well as having strong personal management skills. Key Responsibilities Privacy & Data Protection Manage and enhance privacy compliance programs in line with GDPR, CCPA/CPRA, and other global data protection regulations. Support operationalization of privacy-by-design principles across products and business processes. Responsible for third-party risk assessments and vendor compliance management. Partner with internal stakeholders to support data subject rights requests and regulatory inquiries. AI Governance Build and manage compliance frameworks for AI and machine learning systems used in targeting, optimization, data analytics, and measurement. Ensure operational readiness for emerging AI regulations (e.g., EU AI Act, U.S., and state-level AI frameworks). Collaborate with engineering and data science teams to embed explainability, fairness, and accountability into AI workflows. Monitor and report on AI ethics, risk management, and governance practices. Program Management & Engagement Lead compliance program policy development, requirements tracking, and reporting across privacy and AI. Supervise the work of the privacy analyst. Mature the training and awareness program. Collaborate with portfolio companies and external partners to harmonize compliance practices. Provide regular updates to program and business leadership on compliance program status, risks, and opportunities. Qualifications Required 5+ years of program management experience in Privacy and AI compliance. Strong understanding of data protection laws (GDPR, CCPA/CPRA, ePrivacy) and AI regulatory trends. Demonstrated experience managing cross-functional compliance programs in a technology-driven environment. Excellent communication skills with the ability to translate regulatory requirements into business practices. Strong management, organizational, and project management skills. Certifications such as CIPP/US or E, CIPM, or AI governance credentials. Ability to influence stakeholders and drive adoption of compliance programs across diverse teams. Preferred Education: JD, MBA or MS in Computer Science, Cybersecurity, Compliance or related experience in Privacy and AI Compliance field Experience in ad tech, mar tech, or digital media industries. Familiarity with privacy and security-enhancing technologies (e.g., encryption, differential privacy, federated learning). Why Join Momentum At Momentum, you will play a pivotal role in shaping how privacy and AI governance are integrated into digital commerce. You’ll have the opportunity to partner with cross-functional teams, safeguard user trust, and set standards for responsible advertising technology.

Requirements

5+ years of experience in privacy and AI compliance
Strong understanding of GDPR, CCPA/CPRA, and other global data protection regulations
Ability to manage and enhance privacy compliance programs
Experience with third-party risk assessments and vendor compliance management
Strong communication and collaboration skills

Benefits

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

Skills

GDPR AI Governance Machine Learning Data Protection Compliance CCPA/CPRA

Senior Applied Scientist - AI Evaluation & Quality Systems

Apple

Full Time

$120,000 - $180,000*

10 hours ago

Worldwide

Senior

Python

Machine Learning

Large Language Models

+4 more

Job Description

Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the quality of our evaluation systems. We believe that to build exceptional AI, you need exceptional mechanisms to validate the signals used to train and evaluate them. DESCRIPTION The Human-centered AI, Data Quality Operations team is looking for a Senior Applied Scientist to join our growing team. We are building the systems and methodologies that make AI evaluation trustworthy, and scalable — directly shaping how Apple develops and validates AI across products and services. In this role, you will develop novel, scalable quality control solutions, working closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance. Your work will span two connected problem spaces. The first is the methodology and tooling that generates reliable ground truth and detects quality failures across human annotation and automated evaluation pipelines. The second is the autonomous QA agents that make those methodologies generalizable across teams and use cases. This role demands fluency across research thinking and engineering execution — you will prototype, validate, and ship. A strong point of view on when not to use a model or agent is as valued here as the ability to build one. MINIMUM QUALIFICATIONS 5+ years of industry experience in applied science or machine learning with demonstrated impact on shipped systems Strong hands-on experience with Large Language Models including prompt engineering and applied use cases such as grading, validation, or classification Strong working knowledge of evaluation methodology for generative AI, including LLM-as-a-judge design, meta-evaluation, and failure mode analysis Familiarity with human-in-the-loop evaluation systems and the operational dynamics that affect data quality at scale Hands-on experience designing ground truth generation pipelines across varied task types and annotation modalities Proficiency in Python and relevant ML frameworks, with production experience building, deploying, and monitoring LLM-based pipelines and agents MS or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience PREFERRED QUALIFICATIONS PhD in Computer Science, Machine Learning, Statistics, or a related field Experience designing agent architectures that are configurable and extensible by practitioners who did not build them Hands-on experience building anomaly detection systems for evaluation quality, including drift detection, distribution analysis, and systematic bias identification Strong communication skills with the ability to influence technical direction across cross-functional teams Demonstrated passion for leveraging AI to improve work efficiency and scale

Requirements

5+ years of industry experience in applied science or machine learning
Strong hands-on experience with Large Language Models
Strong working knowledge of evaluation methodology for generative AI
Familiarity with human-in-the-loop evaluation systems
Proficiency in Python and relevant ML frameworks
MS or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field

Benefits

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

Skills

Python Machine Learning Large Language Models prompt engineering Generative AI Evaluation Methodology Human-in-the-loop Evaluation

Data & AI Governance Architect

Booking Holdings

Full Time

$120,000 - $180,000*

13 hours ago

Worldwide

Senior

Data governance

Data Architecture

Cloud Computing

+2 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 Architect role will report into the Data & AI Governance Solution Architect in the Data & AI Governance department in the CDO office. You will work with the teams in different business units across Booking.com to co-create the architecture solutions for data & AI governance across data & AI initiatives. You will be responsible for implementing best practice, supporting decision making and ensuring solutions are scalable, resilient, secure, compliant and fit for the future and that the Architecture Design Authority is run smoothly and continually improving its efficiency and alignment with industry standards. It will also be your responsibility to work with the Solution Architect to align the program to the broader technical and enterprise data & AI strategies. Ensuring that the solution is well positioned to connect with an ecosystem of platform capabilities that combine to connect the trip for our customers and partners in a secure, trusted and compliant manner. Depth of technical knowledge is an important aspect of this role. However, the ability to partner with and advise non-technical stakeholders is of equal importance. In this role you will partner with product and engineering counterparts and the broader Data Architecture community to understand future direction and utilize this in the creation of architecture solutions. Key Job Responsibilities and Duties: Deep understanding and hands-on experience designing, building, improving, and operating high-performance, high-availability, scalable and secure data storage, governance and consumption solutions that scale and adapt to strategy Ability to build an architecture that can respond quickly to new use cases - develop an understanding of our business and stakeholders to underpin this Contribute to data architecture governance and decision processes Proficiency in modeling canonical data asset for critical data entities, and in protecting and promoting their golden source status - quick to recognise when they need to evolve to stay golden and how they can integrate to mature data and governance capabilities Proven experience employing best in class technology to continually optimise the tech stack and tools strategy for the data & AI governance platform(s) Identification of bottlenecks within system design that impede delivery velocity Data driven nature, expect it in design, lead by example Demonstrable experience of cloud technology (AWS or similar) and designing cloud native systems Approachable & effective communicator, explain design and challenges in a way the audience understands Coaching and mentoring, building our architecture excellence systemically through the team Ability to drive impact at scale across a large data product & engineering organisation Desirable skills: Experience of building out modern data architectures Experience of Data Governance & engineering Continuous Delivery and Agile delivery methodologies Experience with Conceptual and Logical Data Modeling practices Experience of data vault modeling including Hub, Link, and Satellite structures, how to architect it well and how to build an effective consumption layer on top Experience of integrating siloed businesses or verticals with diverse data and standards Knowledge and experience of enterprise architecture practices and capability-based planning Knowledge and experience of Data & AI Governance and management and how to weave into data architecture effectively API design Handle data following strict privacy and compliance requirements Provide support for internal teams Role Qualifications and Requirements: Responsible with the Solution Architect for the integrity and excellence of the CDO Data & AI Governance architecture and its value Partner with Data Architecture community to co-create group wide data architecture practices with localized implementation in BUs Craft and promote data architecture principles for the Data & AI Governance team - take accountability for embedding them in culture and design Continually strive for architectural simplicity. Design and promote canonical assets that serve multiple use cases and drive integration for data and for our business - manage technical debt wisely Collaborate with data modelling community to drive out data modelling standards with the business units Consider and manage cost and security risk in design and maintenance, assume overall responsibility for managing data & AI Governance platform costs within the CDO and Central Tech Collaborate with Compliance and data & AI governance on measuring and managing risks effectively Partner with senior engineers to assess and protect quality of solution design, bringing an enterprise perspective to the table and protecting simplicity of the asset estate Design and lead architecture review forums - formal and informal to nurture design excellence and maintain the integrity of the architecture principles Be flexible, find the balance in working with senior engineers to agree the best solution for urgent tactical needs while keeping the need to return to architecture principles on the roadmap Develop communities of practice to embed and evolve architecture ways of working and improve the quality of architectural decision making Create the culture, processes and principles that embed data quality and Governance by design. Lead and illustrate by example managing standardisation through templated documents and architectural artifacts. Critical Thinking: Identify patterns and underlying issues in complex situations, and to find solutions by applying logical and analytical thinking and guide more junior members of the team in this topic. Constructively evaluate and develop ideas, plans and solutions by reviewing them, objectively taking into account external knowledge, initiating 'SMART' improvements and articulating their rationale and guide more junior members of the team in this topic. 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. 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

Deep understanding of data governance and architecture
Experience with cloud computing and API design
Strong security skills and knowledge
Ability to partner with non-technical stakeholders
Excellent communication and collaboration skills

Benefits

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

Skills

Data governance Data Architecture Cloud Computing API design Security

Model Risk Program Analyst/Associate

JPMorgan Chase & Co.

Full Time

$80,000 - $150,000*

15 hours ago

Worldwide

Mid

Python

C++

probability theory

+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, Paris, and Hong Kong, 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 * Analyse the conceptual soundness of complex pricing models and reserve methodologies. * Develop and implement alternative benchmark models. * Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage. * 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 numerical methods such as Monte Carlo and PDE. * Strong analytical and problem-solving abilities. * MSc or equivalent in a relevant field. * Proficiency in Python and C++ programming. * 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 benchmark models
Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage
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 numerical methods such as Monte Carlo and PDE
Strong analytical and problem-solving abilities

Benefits

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

Skills

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

AI Evaluation & Reliability Engineer

abra

Full Time

$120,000 - $180,000*

23 hours ago

Worldwide

Senior

Python

LLMs

Evaluation Frameworks

+2 more

Job Description

abra R&D is looking for a Reliability Engineer! abra R&D is looking for a 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

Director, Treasury & Model Risk Management

Ent Credit Union

Full Time

$180k - $200k

1 day ago

United States

Worldwide

Senior

Asset Liability Management

Model Risk Management

Stress Testing

+4 more

Job Description

Company Description Ent Credit Union and Wings Credit Union joined forces in January 2026. This merger means more opportunities, expanded resources, and a shared commitment to delivering exceptional member service. Together, we become more - empowering members, communities, and teams through a bold, unified future. Both organizations bring a strong legacy of member satisfaction, operational excellence, financial stability, and community impact. Recognized locally and nationally as best-in-class financial institutions and employers of choice, each is known for its commitment to financial well-being and philanthropic leadership. Join us during this transformative time and be part of shaping the future of banking! To learn more about the merger, click here. Job Description As part of the second line risk framework, the Director acts as a senior leader responsible for providing risk oversight related to treasury, liquidity, capital, and asset-liability management (ALM), while also managing Wings' Model Risk Management (MRM) program. This position leverages advanced analytical skills and strong governance practices to ensure that first line treasury and modeling systems, strategies, and established control frameworks are resilient, transparent, and fully compliant with both regulatory requirements and the board's approved risk appetite. The director will play an integral role in guiding Wings' approach to major financial risks, proactively identifying emerging risks, and collaborating with stakeholders to promote a strong risk management culture throughout strategic and operational decision-making. Primary responsibilities include supervising the Treasury & Model Risk Management team, conducting impartial assessments and validations of first-line activities such as liquidity assumptions and asset-liability management, providing constructive challenges to funding and liquidity strategies, performing independent reviews of stress testing processes, and undertaking comprehensive capital management evaluations. Essential Functions: Lead the management and development of Wings' Treasury & Model Risk Management to ensure comprehensive identification, measurement, monitoring, and mitigation of liquidity, capital, asset-liability management, and capital management risks. Maintain and reinforce risk appetite, limits, and controls across liquidity, interest rate risk, investment portfolio risk, and financial operations. Oversee and challenge liquidity stress testing, scenario analysis, and treasury metrics, ensuring that methodologies are sound and outcomes are defensible. Independently conduct gap assessments and develop processes to strengthen asset liability management, liquidity planning, stress testing, and capital management Oversee Lead Wings' MRM program, ensuring that models within treasury, finance, credit, data science analytics, as well as artificial intelligence and machine learning domains, are accurately identified, inventoried, governed, validated, and monitored in accordance with SR 11-7 guidelines. Oversee the development of stress testing methodologies, model creation and governance processes, review and approve assumptions, and ensure accurate risk measurement. Conduct and/or oversee independent model validations, including conceptual soundness, performance testing, benchmarking, and ongoing monitoring. Work with second line leadership to establish model risk management procedures and standards to align with evolving regulatory requirements and industry best practices. Partner with model developers, data science, technology, and other stakeholders across the three lines to evolve Wing's MRM framework. Translate complex regulatory requirements into scalable data, model, and workflow designs to help non-experts understand the vision, strategy, and overall value. Build data driven insights and/or dashboards that strengthen liquidity, capital, and ALM risk visibility. Provide leadership in the development and implementation of advanced analytics, including artificial intelligence and machine learning solutions, to strengthen risk management initiatives. Prepare detailed risk reports for senior management, highlighting key liquidity and credit exposures, trends, and performance metrics. Work with the second line risk leadership and first line leaders to execute risk limit governance, including setting liquidity risk appetite, calibration of risk limits, and ongoing monitoring of limit utilization and remediation. Work in partnership with key stakeholders throughout the credit union to ensure that risk considerations are systematically integrated into both strategic planning and day-to-day operations. Bank Secrecy Act: Remains cognizant of and adheres to Wings policies and procedures, and regulations pertaining to the Bank Secrecy Act. Qualifications Minimum Formal Qualifications for this Position: Bachelor's Degree business, economics, finance, mathematics, or statistics required Master's Degree business, economics, finance, mathematics, or statistics preferred PhD business, economics, finance, mathematics, or statistics preferred 8+ years' experience in financial or treasury risk management within banking and/or financial institutions, covering liquidity, ALM, capital, market, credit, and financial operations risk required 3+ years' supervisory or team leadership experience required Technical or Specialized Knowledge/Skills: Demonstrated expertise in leading analytical projects, such as liquidity stress testing, scenario analysis, and asset-liability management (ALM) modeling, with substantial experience in large data set manipulation. Experience in model development and validation, including treasury, credit, or financial models (e.g., PD, LGD, EAD, transition, and ALM models). Strong understanding of the three lines of defense, issue management, and change control. Demonstrated ability to translate regulatory requirements into scalable data, model, and workflow designs. Experience leading large cross-functional work initiatives with key stakeholders. Strong program management discipline, including roadmap development and execution. Exceptional communication skills with the ability to synthesize analytics into clear narratives, influence senior leadership, and engage with risk committees and board-level stakeholders. Advanced skills leveraging Python, R, and SQL for analytics, model testing, and validation. Interest in financial markets and risk management; committed to continuous learning. Knowledgeable in risk governance, enterprise risk management, and internal controls. Demonstrates curiosity, ownership, and teamwork. Ability to work independently, exercise judgment, and drive change. Additional Information The pay range for this position is: $180,000-200,000 annually (S19) plus 20% annual target bonus. Final compensation for this position will be determined by various factors such as relevant work experience, specific skills and competencies, education, certifications, location and internal pay equity. BENEFITS: Generous 401(k) match 401k Discretionary Profit Sharing Health Insurance Dental Insurance Vision Insurance Life Insurance Short-Term and Long-Term Disability Health Savings Account with company contribution Employee Assistance Program Paid Vacation, Sick, Floating Holidays and Volunteer Time Off Paid Holidays Tuition Reimbursement Paid Parental Leave We anticipate this position to close on 04/29/2026. Please submit your application at your earliest convenience to be considered. Compensation: USD 180000 - USD 200000 - yearly

Requirements

Lead the management and development of Wings' Treasury & Model Risk Management to ensure comprehensive identification, measurement, monitoring, and mitigation of liquidity, capital, asset-liability management, and capital management risks.
Maintain and reinforce risk appetite, limits, and controls across liquidity, interest rate risk, investment portfolio risk, and financial operations.
Oversee and challenge liquidity stress testing, scenario analysis, and treasury metrics, ensuring that methodologies are sound and outcomes are defensible.
Independently conduct gap assessments and develop processes to strengthen asset liability management, liquidity planning, stress testing, and capital management.
Oversee Lead Wings' MRM program, ensuring that models within treasury, finance, credit, data science analytics, as well as artificial intelligence and machine learning domains, are accurately identified, inventoried, governed, validated, and monitored.

Benefits

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

Skills

Asset Liability Management Model Risk Management Stress Testing Liquidity Treasury Capital Capital Management

Senior AI Evaluation & Reliability Engineer

abra

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

PyTorch

TensorFlow

+5 more

Job Description

abra R&D is looking for a Staff AI Engineer! abra R&D is looking for an AI Engineer that will take part of building a next-generation agentic analytics platform powered by a real-time, AI-optimized data infrastructure. We are looking for an experienced AI Engineer to design, build, and deploy intelligent systems that operate at scale and in real time. This role is hands-on and product-oriented, focusing on developing, integrating, and productionizing AI and machine learning models as part of a complex, high-performance platform. What You Will Do: Design, develop, and deploy AI and machine learning models into production systems Build scalable AI services that operate on large-scale and real-time data Implement deep learning and machine learning solutions using modern frameworks Integrate AI models into end-to-end product flows and backend systems Collaborate closely with software engineers and AI teams to deliver production-ready solutions Optimize model performance, reliability, and scalability in real-world environments Develop and maintain data pipelines and model-serving infrastructure Contribute to the evolution of AI-powered, agent-based systems and analytics capabilities Requirements 3+ years of experience in AI engineering, machine learning engineering, or applied ML in production Strong programming skills in Python Hands-on experience with PyTorch or TensorFlow Experience implementing ML models using frameworks such as scikit-learn, XGBoost, or LightGBM Solid experience with data processing tools (Pandas, NumPy, Spark) Experience working with large-scale or real-time data systems Strong software engineering mindset with a focus on reliability and maintainability Strong Advantages Experience deploying AI models in production environments Familiarity with LLM-based systems, AI agents, or agentic workflows Experience with event-driven or real-time analytics systems Background in AI-powered platforms or data-driven products

Requirements

3+ years of experience in AI engineering, machine learning engineering, or applied ML in production
Strong programming skills in Python
Hands-on experience with PyTorch or TensorFlow
Experience implementing ML models using frameworks such as scikit-learn, XGBoost, or LightGBM
Solid experience with data processing tools (Pandas, NumPy, Spark)
Experience working with large-scale or real-time data systems
Strong software engineering mindset with a focus on reliability and maintainability

Benefits

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

Skills

Python PyTorch TensorFlow Scikit-learn XGBoost Pandas LightGBM NumPy

Senior AI Engineer - Bits AI Security Analyst

Datadog

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Python

Java

+3 more

Job Description

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths Collaborate with Product, Design, and partner teams to build cohesive experiences Prototype and see what works well, iterate closely with our users and experts, and then ship Follow the latest research on GenAI and AI agents Who You Are: You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production You want to work in a fast, high-growth startup environment that values its engineers You are a good communicator and can drive hard technical conversations towards a pragmatic solution You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus Point: Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions Experience scaling products in a high-growth SaaS environment You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 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 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

BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field
4+ years of professional experience as a backend engineer
Relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields
Ability to use AI coding tools in day-to-day workflows
Good communication and problem-solving skills

Benefits

Equity
Professional Development

Skills

Go Python Java LLMs Machine Learning Artificial Intelligence

Vice President, Financial Model Risk Auditor

BNY Mellon

Full Time

$69k - $170k

1 day ago

United States

Worldwide

Senior

Python

Machine Learning

Model Risk Management

+4 more

Job Description

Vice President, Financial Model Risk Auditor At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Auditor to join our Model Risk Audit Team within Internal Audit. This role is located in New York City, NY. In this role, you’ll make an impact in the following ways: * Performing high quality, risk-focused audit testing, in accordance with Internal Audit policies, methodologies, and standards in order to identify meaningful issues, risks and other exposures related to model risk in Finance’s Corporate Treasury functions, and Risk Management areas focusing on the Enterprise-wide management of Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance (BSA / AML, and Artificial Intelligence / Machine Learning, and model governance. * Tests model development and model validation processes as per the Supervisory Guidance on Model Risk Management and the Bank’s Model Risk Management policies, standards, and procedures. * Operates as a team member or independently and has responsibility for specific procedures and results (i.e., head of a project relating to an audit, audit project, or model auditor). Ensures testing (or other tasks as applicable to a specialty) is adequately thorough and accurate to allow an evaluation of the adherence to company policies and procedures, audit methodologies, and all applicable regulations. Identifies existing and emerging risk/ control themes. * Prepare draft audit reports and follow-up of audit actions to ensure corrective actions have been appropriately implemented. * Learns new businesses, processes and regulations. * Work with other audit team members to mentor, guide and collaborate. * Work on projects of great complexity that involves significant understanding of the regulatory requirements, business models and processes for each assignment. * Maintain up to date knowledge of industry best practice and regulatory requirements. * Carry out other ad-hoc tasks and projects as directed by audit senior management. * Represent Internal Audit on projects and at management meetings. * Engages in Continuous Monitoring activities. To be successful in this role, we’re seeking the following: * Advanced degree (Masters or PhD) in Math, Statistics, Physics, Economics or other quantitative fields are required (PhD is preferred). * Strong quantitative and analytical background coupled with strong theoretical foundation and good communication skills preferred. * 5+ years working experience in model development, model validation, or model audit in the risk area such as Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance, Artificial Intelligence / Machine Learning, stress testing, and capital planning. * The position requires special skills (e.g. mathematical, statistical, quantitative, economic, and business knowledge and modeling experience). * Proficient with programming languages used for model development and validation, such as Matlab, R, C, Python, etc.; Additional core skill requirements include understanding of the applied and interpretation of analytics results for Audit, critical thinking and problem solving At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom [https://www.bny.com/corporate/global/en/about-us/newsroom.html] BNY LinkedIn [https://www.linkedin.com/company/bnyglobal/posts/?feedView=all] Here’s a few of our recent awards: * America’s Most Innovative Companies, Fortune, 2025 * World’s Most Admired Companies, Fortune 2025 * “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $100,000 and $170,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $69,000 and $170,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Requirements

Advanced degree (Masters or PhD) in Math, Statistics, Physics, Economics or other quantitative fields
Perform high quality, risk-focused audit testing
Tests model development and model validation processes
Operates as a team member or independently and has responsibility for specific procedures and results
Ensures testing (or other tasks as applicable to a specialty) is adequately thorough and accurate
Identifies existing and emerging risk/ control themes
Prepare draft audit reports and follow-up of audit actions
Maintain up to date knowledge of industry best practice and regulatory requirements

Benefits

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

Skills

Python Machine Learning Model Risk Management Risk Management Artificial Intelligence Model Governance Statistical Analysis

AI Governance Officer

Davies

Full Time

$120,000 - $180,000*

1 day ago

Worldwide

Senior

Machine Learning

Data Science

+2 more

Job Description

AI Governance Officer Department: Risk and Compliance Employment Type: Permanent - Full Time Location: Pune Description We are seeking a great communicator with a passion for all things AI Governance to join our team and shape the responsible development and implementation of our AI initiatives. You will play a critical role in developing and enforcing policies that ensure our AI systems are fair, ethical, reliable, and transparent. You will also be responsible for staying abreast of evolving AI regulations and collaborating with stakeholders across the organisation to build trust and mitigate potential risks. Working with the Office of the CISO functional areas, the GRC Divisional Risk Heads and the AI Steerco this role will lead the day-to-day programme management of Davies AI Governance, becoming the initial point of contact for anyone with AI Governance / regulatory related questions. Key Responsibilities Maintain and embed the organisation’s AI governance frameworks, including relevant policies, standards, and best practices. Monitor and stay informed of evolving global AI regulations and compliance requirements, ensuring ongoing organisational adherence. Monitor AI usage across the business and identify, assess and report risks arising from non-compliance with internal policies. Facilitate and review AI impact assessments (AIIAs), identifying potential ethical, legal, regulatory and reputational risks associated with AI use. Collaborate with internal stakeholders (including engineers, developers, data scientists, and product managers) to integrate AI governance principles into the design, development and deployment of AI-enabled solutions. Design and deliver training sessions and workshops to raise awareness and understanding of AI governance requirements and best practices. Develop, implement and maintain metrics to assess the effectiveness of AI governance activities, including the production of monthly reporting, and escalation outputs. Act as the Davies SME for all internal and client enquiries relating to Davies’ use and development of AI products and services. Support contract reviews by assessing and advising on AI-related contractual clauses. Coordinate and manage Davies’ responses to AI-focused regulatory enquiries, whilst working to develop a standard response set. Skills, Knowledge & Expertise 7- 12 years’ experience in a range of grounding areas, the role is not expected to be a technical engineer but must understand AI well enough to govern, challenge, and assure it. Strong understanding of ethical considerations and potential risks associated with AI. Familiarity with relevant AI regulations and compliance requirements. Excellent communication and interpersonal skills, with the ability to build relationships and influence diverse stakeholders. Analytical and problem-solving skills, with the ability to identify and mitigate risks. Great time management and organisational skills and the ability to work independently and as part of a team.

Requirements

7-12 years' experience in AI governance
Strong understanding of ethical considerations and potential risks associated with AI
Familiarity with relevant AI regulations and compliance requirements
Excellent communication and interpersonal skills
Analytical and problem-solving skills

Benefits

401k Matching
Health Insurance
Paid Time Off
Professional Development
Remote Work

Skills

AI Machine Learning Data Science Python Regulatory Compliance

Vice President, AI Risk & Operations

Accordion

Full Time

$130.5k - $145k

2 days ago

United States

Worldwide

Senior

AI Policy

AI frameworks

AI Development

+4 more

Job Description

Company Overview We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation. If you crave challenging work and are looking to grow, come solve complex issues alongside 1,400+ finance & technology experts in a supportive, collaborative environment, the Backed by premier private equity firms and headquartered in New York with 10 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. About the role: We are seeking a Vice President, AI Risk and Operations who will play a critical role in maturing and scaling Accordion's enterprise-wide AI Governance risk and operations program. In this role, you will serve as an internal governance practitioner and cross-functional advisor, embedding AI governance policies, procedures, and controls across our operating model for internal AI solutions — with the expectation that this scope will evolve to include client-facing engagements over time. Drawing on your experience with AI policy, frameworks, and risk program design, you will translate complex governance requirements into actionable, scalable implementation systems. This position requires seamlessly bridging the gap between cutting-edge AI development and responsible governance, partnering with senior stakeholders across Practices, Technology, Legal, and Emerging Technology to enabling trusted use and development of AI. This position can be based in our New York City, San Francisco or Chicago offices and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location. This position is not eligible for immigration sponsorship. What You’ll Do Governance & Frameworks Enhance the enterprise AI Risk Management Framework, including AI use case and supply chain inventory management, use case risk classification taxonomies, and risk-tiering mechanisms aligned to internal standards and emerging regulatory expectations Design and operationalize scalable, end-to-end governance processes across the AI lifecycle Build and maintain AI governance playbooks, risk appetite frameworks, and responsible AI standards Identify opportunities to strengthen controls and oversight through process automation, tooling improvements, and governance workflow optimization Cross-Functional Collaboration Partner with Legal, Technology, and Consulting Practice Groups to embed explainability, bias mitigation, and ethical AI principles directly into use case development and delivery workflows Manage the firm's AI Governance obligations and processes end-to-end, including supporting AI and related vendor management supply chain Coordinate with Legal teams to ensure AI systems meet applicable jurisdictional and regulatory requirements, including proactive engagement on evolving global AI legislation Facilitate stakeholder working groups, cross-functional governance forums, and executive communications on AI risk priorities, testing outcomes, and documentation requirements Maintain the internal AI risk register and escalate issues through appropriate governance channels Liaise with Technology and Practices to ensure data lineage and quality standards are met for AI solutions Monitoring & Oversight Establish, track, and report on key risk indicators (KRIs) for AI systems in partnership with the Responsible AI Data Scientist and AI Governance Lead, across internal and client-facing AI solutions and products Monitor alignment with global AI regulatory frameworks (e.g., EU AI Act, NIST AI RMF) and support responses to regulatory inquiries, audits, or reviews Evaluate risks associated with third-party and vendor AI solutions across the full sourcing lifecycle — including procurement, onboarding, integration, and ongoing performance oversight — and identify operational guardrails and controls Assess design and operating effectiveness of AI controls against internal policy and external standards, especially for AI, privacy, and industry regulations, under Legal's guidance Produce high-quality audit findings reports with clear recommendations for remediation and monitor implementation of agreed action plans Stay current on AI regulation, industry standards, and emerging best practices Internal Enablement (Evolving) Support the development of AI Governance updates, training/awareness programs, and culture-building initiatives to embed responsible AI practices across the organization Contribute to Accordion's Trustworthy AI methodology and internal IP development Over time, support client-facing AI governance assessments, risk remediation roadmaps, and responsible AI frameworks as the program matures and scope expands You Have: Bachelors degree in Finance, Business Administration, or related field 7+ years’ experience in Risk Operations, Privacy Programs, or PMO/IMO, with at least 3 years directly focused on AI governance or oversight - preferably within professional services, consulting, or PE-backed environments. Demonstrated experience leading complex, multi-jurisdictional integrations and/or global expansion programs, with a track record of building and running structured governance. Strong knowledge of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into operational controls Strong grasp of AI/ML technical risks (e.g., bias, explainability, model drift, robustness) and associated controls Strong familiarity with regulatory and operational considerations relevant to cross-border professional services (e.g., data/privacy, employment, tax, licensing), and the ability to operationalize them into business processes. Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams Comfortable operating in a high-growth, entrepreneurial environment, with a bias toward structure, scalability, and execution discipline. Strong analytical and problem-solving skills AI usage and familiarity required Excellent attention to detail and organizational skills Ability to adapt to changing priorities and work effectively in a dynamic environment Preferred Qualification: Experience in Data Risk Management or direct collaboration with AI/ML development teams Familiarity with AI risk management platforms or tools for model monitoring, documentation, and compliance reporting Experience designing training, awareness, or enablement programs focused on AI risk, model governance, or responsible AI practices Certifications in risk, privacy, or compliance (e.g., CIPP, CIPM, CRISC, CRCM) Passion for AI and a desire to build a world-class risk management function You Are Energized by building and scaling governance programs that make AI deployment safer, more trustworthy, and more compliant — across a dynamic, fast-moving consulting environment A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams — and can drive decision making and ownership across diverse stakeholders A clear communicator who can translate AI governance concepts, regulatory requirements, and risk findings into actionable guidance for business, technical, and executive audiences A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations, and can turn frameworks into operational reality An adaptive contributor who embraces the breadth and pace of consulting, working across diverse sectors and practice areas The annual salary for this role ranges from: $130,500 to $145,000 USD + benefits. This role is also eligible for bonuses, based on individual and company performance. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to, geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity. Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. #LI-BS1

Requirements

Enhance the enterprise AI Risk Management Framework
Design and operationalize scalable, end-to-end governance processes
Build and maintain AI governance playbooks, risk appetite frameworks, and responsible AI standards
Partner with Legal, Technology, and Consulting Practice Groups
Manage the firm's AI Governance obligations and processes end-to-end
Coordinate with Legal teams to ensure AI systems meet applicable regulations

Benefits

401k Matching
Health Insurance
Flexible Hours
Paid Time Off
Performance Bonus
Professional Development
Remote Work
Stock Options

Skills

AI Policy AI frameworks AI Development risk program design governance requirements scalable implementation systems responsible governance

Sr. Data Scientist, Responsible AI

Full Time

$139.764k - $287.749k

2 days ago

Worldwide

Model Risk Management & Validation

Senior

Python

Machine Learning

Generative AI

+4 more

Job Description

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale Generative AI experiences — including Pinterest Assistant and Canvas — ensuring these products are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's responsible AI mandate within the Advanced Technology Group (ATG). In this role, you will design and build the data science foundations for automated adversarial testing of our GenAI products — developing attack strategies, evaluation frameworks, and harm-detection methodologies that operate at scale. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust & Safety specialists, Policy teams, and Product Managers. You are expected to develop a deep understanding of generative AI vulnerabilities, and generate insights and robust methodologies to proactively surface and mitigate risks. The results of your work will directly influence product safety, policy compliance, and user trust across Pinterest. What you'll do Design and develop automated adversarial testing methodologies — including single-turn, multi-turn, and multimodal attack strategies — to proactively identify vulnerabilities in Pinterest's Generative AI products. Build and calibrate hybrid evaluation pipelines combining LLM-based judges, classifiers, and rule-based systems to accurately detect safety violations, policy breaches, bias, and representational harms. Develop and operationalize harm taxonomies grounded in industry standards and Pinterest's Responsible AI and Trust & Safety threat models. Design adaptive refinement loops that learn from attack outcomes (near-misses, partial failures) to iteratively surface deeper and previously unknown vulnerabilities. Bring scientific rigor and statistical methods to the evaluation of AI safety — including benchmark dataset construction, evaluation calibration, and success-metric definition (vulnerability severity, coverage breadth, pre-launch risk reduction). Work cross-functionally to build relationships, proactively communicate key findings, and collaborate closely with ML engineers, Trust & Safety specialists, policy teams, product managers, and legal partners to ensure safe product launches. Relentlessly focus on impact, whether through influencing product safety strategy, advancing responsible AI metrics, or improving critical evaluation processes. Mentor and up-level junior data scientists and cross-functional partners on adversarial evaluation, responsible AI methodologies, and safety-aware data science practices. What we're looking for 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data. Strong interest and hands-on experience in one or more of: AI safety, adversarial machine learning, red teaming, responsible AI, or trust & safety. Deep familiarity with large language models (LLMs), generative AI systems, and their failure modes — including prompt injection, jailbreaks, bias, and safety violations. Experience designing and calibrating evaluation frameworks for AI systems — including LLM-as-judge, classifier-based evaluation, and benchmark dataset construction. Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with ML pipelines and large-scale experimentation. Familiarity with AI safety taxonomies and frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) is strongly preferred. Ability to work independently, drive ambiguous projects end-to-end, and operate with high ownership. Excellent written and verbal communication skills, with the ability to explain complex technical findings to both technical and non-technical partners. A team player eager to partner across Responsible AI, Trust & Safety, Product, Engineering, Policy, and Legal to turn safety insights into action. This position is not eligible for relocation assistance. #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Requirements

Design and develop automated adversarial testing methodologies
Build and calibrate hybrid evaluation pipelines
Develop and operationalize harm taxonomies
Design adaptive refinement loops
Collaborate with ML Engineers, Trust & Safety specialists, Policy teams, and Product Managers
Develop a deep understanding of generative AI vulnerabilities
Generate insights and robust methodologies to proactively surface and mitigate risks

Benefits

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

Skills

Python Machine Learning Generative AI Data Science Adversarial Testing Evaluation Frameworks Harm-Detection Methodologies

Model Risk - Quant Modeling Lead - Vice President

JPMorgan Chase & Co.

Full Time

$147.25k - $215k

2 days ago

Worldwide

Senior

probability theory

stochastic processes

statistics

+5 more

Job Description

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you play a crucial role in maintaining JPMorganChase's strength and resilience. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Quant Model Risk Vice President in the Model Risk Governance and Review team, you will be responsible for assessing and mitigating the risks associated with complex models used for valuation, risk measurement, capital calculation, and decision-making purposes. . You'll be at the forefront of innovation, driving continuous improvement in a dynamic and collaborative environment. This role also provides the opportunity to gain exposure to various business and functional areas, as well as collaborate closely with model developers and users. You will also have managerial responsibility to oversee, train and mentor junior members of the team. Job Responsibilities * Perform thorough reviews of complex credit, interest rate, and equity pricing models, including valuation engines and reserve methodologies. Analyze the conceptual soundness, model design, and appropriateness of models for specific products and structures. * Evaluate model behavior and ensure the suitability of pricing models and engines for their intended applications, identifying potential limitations and areas for improvement. * Develop and implement alternative model benchmarks. Design and maintain robust model performance metrics to compare and monitor the outcomes of various models. * Continuously evaluate model performance, ensuring models remain fit for purpose and compliant with internal and regulatory standards. Recommend enhancements and oversee remediation where necessary. * Serve as the primary point of contact for the business regarding new model implementations and changes to existing models. Provide expert guidance on model usage, limitations, and governance requirements. * Liaise effectively with model developers, Risk, and Valuation Control Groups. Offer guidance and support on model risk management, validation standards, and regulatory expectations. * Manage and develop junior team members, providing mentorship, guidance, and support to foster their professional growth and enhance overall team performance. Required Qualifications, Capabilities and Skills * Advanced degree (MSc, PhD, or equivalent) in a quantitative discipline such as mathematics, statistics, financial engineering, or related field. * Advanced knowledge of probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis, with demonstrated ability to apply these concepts to financial modeling and risk assessment. * Deep understanding of option pricing theory and quantitative models for pricing and hedging derivatives, including familiarity with stochastic calculus and risk-neutral valuation. * Strong analytical and problem-solving skills, with an inquisitive mindset and the ability to formulate insightful questions, identify model limitations, and escalate issues appropriately. * Excellent written and verbal communication skills, with the ability to clearly explain complex quantitative concepts to both technical and non-technical stakeholders. * Proficient programming skills in languages such as C/C++, Python, or similar, with experience implementing numerical algorithms and developing model prototypes. * Demonstrated curiosity and ownership, with a strong willingness to work collaboratively within a team-oriented environment. * Extensive experience in front office model development or in model review, validation, and governance within financial services, with a strong understanding of credit, interest rate, and equity pricing models. 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

Advanced degree in a quantitative discipline such as mathematics, statistics, financial engineering, or related field.
Advanced knowledge of probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis, with demonstrated ability to apply these concepts to financial modeling and risk assessment.
Deep understanding of option pricing models and their applications in financial markets.
Ability to design and implement alternative model benchmarks.
Experience with model performance metrics and their application in risk management.

Benefits

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

Skills

probability theory stochastic processes statistics partial differential equations numerical analysis Python Financial Modeling Risk Assessment

Head of Data Protection and AI Governance

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Data Protection

AI Governance

Compliance

+1 more

Job Description

We’re Civica and we make software that helps deliver critical services for citizens all around the world. From local to state government, to education, to health and care, over 5,000 public bodies across the globe use our software to help provide critical services to over 100 million citizens. Our aspiration is to be a GovTech champion everywhere we work around the globe, supporting the needs of citizens and those that serve them every day. Building on 21 years of continuous growth and success, we're at a pivotal point on our journey to realise that aspiration. Why you will love this opportunity as Head of Data Protection and AI Governance at Civica Our Compliance & Integrity function sits at the heart of how we operate ensuring that as we innovate, we do so responsibly, lawfully, and with the full confidence of our customers, partners, and regulators. As we continue to grow and deepen our use of artificial intelligence across our products and services, we are looking for an exceptional individual to lead our Data Protection & AI Governance function shaping how Civica manages data and AI not just compliantly, but with integrity and ambition. Reporting to and partnering closely with the Group Compliance Officer & DPO, the Head of DP & AI Governance will set the strategic direction for responsible data and AI use across the enterprise. You will own the frameworks, policies, and operational programmes that underpin Civica's approach to privacy and AI governance, and provide senior leadership and expert assurance to the wider business. This is a exciting and significant leadership role that is both a strategic and hands-on role. You will shape the vision and build the capability while remaining close enough to operations to ensure your frameworks are embedded, effective, and future-ready. What you will do to be successful in this role: Lead, develop, and mentor the DP & AI Governance team building a high-performing function that is capable of operating at pace in a complex, regulated environment. You will help define and own Civica's enterprise-wide DP & AI governance framework, ensuring it remains aligned to the evolving regulatory landscape, business strategy, and industry expectations. Working closely with teams across Civica, you will embed governance across the product and AI lifecycle making compliance an enabler of innovation rather than a barrier to it. You will design and own the AI Governance & DP operations roadmap, including policies, standards, role-based training, privacy tooling, and an ISO 27701-aligned Privacy Information Management System. You will lead end-to-end privacy operations — from RoPA, DPIAs, and LIAs to DSARs, incidents, cross-border transfer programmes, and supplier assurance — with clear SLAs, dashboards, and oversight structures in place. At a senior level, you will act as the expert reviewer for high-risk processing activities and complex privacy decisions, provide escalation support across incidents and supplier risks, and coordinate privacy and AI integration planning for M&A activity. You will also provide transparent, confident assurance to the Group Compliance Officer / DPO and senior leadership on DP and AI risks, regulatory developments, and the maturity of Civica's governance posture. Deep experience building and scaling privacy and AI governance programmes, including operating a Privacy Information Management System (PIMS), managing RoPA, cross-border transfers, supplier assurance, and lifecycle governance, underpinned by strong metrics, dashboards, and stakeholder leadership. Strong applied knowledge of UK and international privacy and AI regulation, including GDPR, DPA 2018, PECR, ISO 27701, the EU AI Act, and ethical AI principles — with the ability to translate regulatory requirements into practical, business-facing frameworks. Proven capability in governance design, with the confidence and credibility to influence senior stakeholders and drive meaningful change across a complex, matrixed organisation. A strategic thinker with a future-focused mindset — innovative, comfortable operating in ambiguity, and able to anticipate regulatory and business change before it lands. Demonstrated experience leading and developing high-performing teams of data protection and AI governance professionals, with a collaborative and empowering leadership style. Hands-on experience of AI risk management across the full AI lifecycle, including use-case triage, impact/risk assessment, fairness and bias testing, human oversight controls, deployment approvals, incident management, and post-deployment monitoring of AI systems for performance, drift, misuse and unintended outcomes. Flexibility to accommodate global time zones where required, reflecting Civica's international operating footprint. We Want You to Bring Your Whole Self to Work There is no such thing as the perfect candidate, so if you think you have what it takes but don't necessarily meet every single point on the list above, please still get in touch. We'd love to have a chat and see if you could be a great fit. Why You'll Love Working with Us As a company, we're passionate about what we do and the citizens we serve. If you, too, want to champion the use of technology in public services to improve outcomes for citizens and public sector organizations, then Civica is the right place for you. We will help you unlock the best version of yourself, achieve career growth, and make a real difference to people and communities. We know that when our people are happy, they work better and have greater job satisfaction. Here's what you can expect: Time Off & Work-Life Balance ✔ 25 Days Annual Leave + bank holidays – plus the option to buy up to 10 extra days! ✔ Days of Difference – Up to 3 extra days off for volunteering. Financial Well-being & Security ✔ Pension Contributions – 5% employer match to support your future. ✔ Income Protection – Up to 75% salary cover for long-term illness. ✔ Life Assurance – 4x salary tax-free lump sum. ✔ Critical Illness Cover – £25,000 lump sum (extendable to dependents). Health & Perks ✔ Private Medical Insurance – Fast access to private healthcare. ✔ Health Cash Plan – Claim back physio, therapies & more. ✔ Dental Insurance – Cover for routine & emergency care. ✔ Affinity Groups – Join employee-led communities. ✔ Bounty Bonus – Refer a friend & get rewarded. At Civica, we are committed to building an inclusive and diverse workplace where everyone feels valued and supported. We believe that a variety of perspectives drives innovation and excellence, and we welcome applicants from all backgrounds, cultures, and experiences. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, disability, age, or any other legally protected characteristic. Our recruitment process is designed to ensure fairness and transparency, so every candidate has an equal chance to contribute to our mission. If you need any adjustments or accommodations to participate in our recruitment process, please let us know. We are here to support you.

Requirements

Lead, develop, and mentor the DP & AI Governance team
Define and own Civica's enterprise-wide DP & AI governance framework
Embed governance across the product and AI lifecycle
Design and own the AI Governance & DP operations roadmap
Act as the expert reviewer for high-risk processing activities and complex privacy decisions

Benefits

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

Skills

Data Protection AI Governance Compliance Leadership

Head of Data Protection and AI Governance

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Data Protection

AI Governance

Compliance

+1 more

Job Description

Requirements

Lead, develop, and mentor the DP & AI Governance team
Define and own Civica's enterprise-wide DP & AI governance framework
Embed governance across the product and AI lifecycle
Design and own the AI Governance & DP operations roadmap
Act as the expert reviewer for high-risk processing activities and complex privacy decisions

Benefits

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

Skills

Data Protection AI Governance Compliance Leadership

Head of Data Protection and AI Governance

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Data Protection

AI Governance

Compliance

+1 more

Job Description

Requirements

Lead, develop, and mentor the DP & AI Governance team
Define and own Civica's enterprise-wide DP & AI governance framework
Embed governance across the product and AI lifecycle
Design and own the AI Governance & DP operations roadmap
Act as the expert reviewer for high-risk processing activities and complex privacy decisions

Benefits

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

Skills

Data Protection AI Governance Compliance Leadership

Head of Data Protection and AI Governance

Full Time

$120,000 - $180,000*

2 days ago

Worldwide

Senior

Data Protection

AI Governance

Compliance

+1 more

Job Description

Requirements

Lead, develop, and mentor the DP & AI Governance team
Define and own Civica's enterprise-wide DP & AI governance framework
Embed governance across the product and AI lifecycle
Design and own the AI Governance & DP operations roadmap
Act as the expert reviewer for high-risk processing activities and complex privacy decisions

Benefits

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

Skills

Data Protection AI Governance Compliance Leadership

AI Governance Associate

Commvault

Full Time

$54.4k - $120.75k

2 days ago

Worldwide

Mid

Risk Management Frameworks

Model Risk

Transparency

+5 more

Job Description

Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What to know: Commvault does not conduct interviews by email or text. We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at [email protected] About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. The Opportunity Commvault is seeking an AI Governance Associate to support and scale our AI governance framework within the Global Compliance function. Reporting to the Regulatory Compliance Manager, this role focuses on enabling responsible AI adoption, strengthening regulatory alignment, and managing AI-related risks across the enterprise. Key Responsibilities Support the implementation and continuous improvement of Commvault’s AI governance framework aligned with the NIST AI Risk Management Framework and applicable global AI regulations. Assist in conducting risk assessments of AI vendors, AI-enabled tools, and internal AI use cases, including evaluation of data usage, model risk, transparency, bias, security, and regulatory considerations. Maintain AI risk registers, inventories, and governance documentation to ensure audit readiness and regulatory compliance. Partner with Security, Legal, Privacy, Product, and Business Technology teams to assess AI risks, document mitigation plans, and track remediation activities. Support the development, documentation, and monitoring of AI-related controls and safeguards. Assist in preparing materials for regulatory inquiries, customer due diligence, and internal or external audits. Monitor emerging AI regulatory developments and support updates to policies, standards, and internal practices. Contribute to cross-functional governance initiatives that strengthen information lifecycle management, policy awareness, and enterprise compliance. Maintain governance documentation, track action items and control effectiveness metrics, and support ongoing program reporting. Candidate Profile 2–5 years of experience in regulatory compliance, AI governance, information governance, privacy, cybersecurity, or a related field. Foundational understanding of AI governance principles, risk management frameworks, or emerging AI regulatory requirements. Familiarity with the NIST AI Risk Management Framework or similar governance frameworks is preferred. Experience supporting risk assessments, control implementation, or policy development in a technology or SaaS environment. Working knowledge of information lifecycle, classification, or retention practices is a plus. Strong analytical skills with the ability to evaluate technical and regulatory risks and clearly document findings. Strong organizational and project coordination skills, with the ability to manage multiple concurrent workstreams. Effective written and verbal communication skills, with the ability to collaborate across Legal, Security, IT, Product, and business stakeholders. Detail-oriented, proactive, and comfortable operating in a fast-evolving regulatory environment. Preferred Qualifications Experience supporting compliance with global AI laws and technology regulations. Familiarity with governance, risk, and compliance platforms. Exposure to AI lifecycle concepts or third-party AI due diligence processes. Experience supporting audits or regulatory reviews. Relevant certifications such as CIPP, CIPM, CRISC, ISO 27001, or AI governance-related credentials are a plus. You’ll love working here because... Continuous professional development, product training, and career pathing An inclusive company culture, opportunity to join our Employee Groups Generous benefits supporting your health, financial security, and work-life balance Employee stock purchase plan (ESPP) Ready to #makeyourmark at Commvault? Apply now! #LI-PK1 #LI-Remote Thank you for your interest in Commvault. Reflected below is the minimum and maximum base salary range for this role. At Commvault we use broad salary ranges in our job postings to reflect the diverse levels of expertise and experience among our candidates and is not reflective of the total compensation and benefits package. The specific salary offered will be determined based on your unique qualifications, including your relevant experience, skills, and the value you bring to the role. While the range provides a general idea of the compensation, it is important to note that placements within the range are not automatic and will be carefully considered to ensure a fair and competitive offer. We are committed to rewarding talent and experience. Pay Range $54,400—$120,750 USD Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email [email protected] For any inquiries not related to an accommodation please reach out to [email protected]. Commvault's Privacy Policy

Requirements

2–5 years of experience in regulatory compliance, AI governance, information governance, privacy, cybersecurity, or a related field.
Foundational understanding of AI governance principles, risk management frameworks, or e
Support the implementation and continuous improvement of Commvault’s AI governance framework aligned with the NIST AI Risk Management Framework and applicable global AI regulations.
Assist in conducting risk assessments of AI vendors, AI-enabled tools, and internal AI use cases, including evaluation of data usage, model risk, transparency, bias, security, and regulatory considerations.
Maintain AI risk registers, inventories, and governance documentation to ensure audit readiness and regulatory compliance.

Benefits

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

Skills

Risk Management Frameworks Model Risk Transparency Bias Security AI governance principles NIST AI Risk Management Framework Data usage

Real Estate Expert- AI Evaluation Team

Full Time

$80,000 - $140,000*

2 days ago

United States

Worldwide

Mid

Python

Excel

Data Analysis

+3 more

Job Description

REAL is building an AI Execution Platform for real estate organizations. Today, the data required to run real estate is scattered across fragmented systems, leading to missed insights and preventable financial leakage. REAL transforms this complexity into connected intelligence and automated execution, enabling enterprises to operate with greater precision and confidence. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a Real Estate Expert – AI Evaluation Team at REAL, you will be responsible for working hands-on with real estate data and turning it into structured, high-quality inputs that power our platform. This is a highly operational role with a strong analytical component. You will work closely with lease agreements, property documents, and asset-related data, primarily within the U.S. commercial real estate market, ensuring accuracy, consistency, and usability. The role is ideal for someone with a background in U.S. commercial real estate or property management who enjoys working with data, going into details, and making things structured and scalable. What You’ll Do Review and process real estate documents (leases, property data, plans) on a daily basis Extract key data points from contracts and input them into structured systems Work with U.S. commercial real estate documents and terminology Clean, organize, and validate large volumes of data Identify inconsistencies, missing data, and anomalies, and resolve them Work closely with internal teams to ensure data is accurate and aligned with product needs Support onboarding of new customer data into the system Maintain high data quality and accuracy standards Improve internal workflows and data handling processes over time Gradually build domain expertise in real estate data and customer use cases What We’re Looking For 2–4 years of experience in U.S. commercial real estate / property management / PropTech (CRE – strong advantage) Experience working with contracts, leases, or property-related documents Native-level English – must (ability to read, write, and understand professional documents and contracts in English) Strong attention to detail and ability to work with high accuracy Comfortable working with data (Excel / Google Sheets required) Analytical mindset and ability to spot issues in data Ability to work independently and handle operational tasks at scale Strong sense of ownership and responsibility Technical curiosity and willingness to work with data systems Good communication skills and ability to collaborate with different teams

Requirements

2–4 years of experience in U.S. commercial real estate / property management / PropTech
Native-level English
Strong attention to detail and ability to work with high accuracy
Comfortable working with data (Excel / Google Sheets required)
Analytical mindset and ability to spot issues in data

Benefits

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

Skills

Python Excel Data Analysis Machine Learning Google Sheets Real Estate Data

Content and AI Compliance Senior Specialist, RCI

Google

Full Time

$136k - $197k

2 days ago

Worldwide

AI Compliance & Legal

Senior

API

Compliance

Risk Management

+5 more

Job Description

MINIMUM QUALIFICATIONS: * Bachelor's degree or equivalent practical experience. * 7 years of experience in compliance, risk management, investigation, auditing, legal, or consulting. PREFERRED QUALIFICATIONS: * Master's degree or PhD in Law, Business, Compliance or a related field. * Experience in bringing structure and clarity to ambiguous situations. * Understanding of compliance program management principles, risk assessment methodologies, and internal control frameworks. * Ability to collaborate effectively with cross-functional teams, executive management, regulators, and external stakeholders. * Ability to identify potential risks and develop solutions to ensure ongoing compliance and mitigate potential issues. * Excellent problem-solving and verbal and written communication skills. ABOUT THE JOB: The Risk, Compliance and Integrity (RCI) organization brings together critical compliance, assurance, risk and governance functions across Google to help the company meet compliance needs and enable our businesses to innovate. Our goal is to make compliance an advantage for Google by driving data-driven and policy-based compliance programs. We manage our operations through risk-based prioritization and governance and consistent and constructive regulator engagement. In this role, you will lead and elevate our compliance program. You will require understanding of compliance frameworks, risk assessment, and internal controls, and collaborate effectively across the organization and influence at all levels. You will effectively manage compliance initiatives from inception to completion which includes defining clear objectives, establishing metrics, monitoring progress, and ensuring timely and accurate reporting to stakeholders. The US base salary range for this full-time position is $136,000-$197,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Architect and implement an compliance and risk management program tailored to the organization's specific needs and regulatory environment. * Develop a set of clear, quantifiable metrics and Key Performance Indicators (KPIs) to objectively measure and track the program's effectiveness and identify areas for improvement. * Deliver regular reports to executive management, providing actionable insights into the program's overall status, emerging risks, compliance performance, and recommended next steps. * Partner closely with cross-functional teams across the organization to embed compliance and risk management principles directly into core business processes, ensuring proactive risk mitigation.

Requirements

Bachelor's degree or equivalent practical experience
7 years of experience in compliance, risk management, investigation, auditing, legal, or consulting
Master's degree or PhD in Law, Business, Compliance or a related field
Experience in bringing structure and clarity to ambiguous situations
Understanding of compliance program management principles, risk assessment methodologies, and internal control frameworks
Ability to collaborate effectively with cross-functional teams, executive management, regulators, and external stakeholders
Ability to identify potential risks and develop solutions to ensure ongoing compliance and mitigate potential issues

Benefits

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

Skills

API Compliance Risk Management Investigation Auditing Legal Consulting Problem-solving

Sr. Machine Learning Engineer, Responsible AI– Applied Research Science

Full Time

$189.721k - $332.012k

3 days ago

Worldwide

Senior

Python

Machine Learning

+5 more

Job Description

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics. At Pinterest our goal is to inspire pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 550M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience. Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone, hair pattern search refinements, and more recently, body type. We are looking for a Sr Machine Learning Engineer. You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest. What you'll do: Design and drive projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest. These include but are not limited to Gen AI product evaluations, foundation models safety fine tuning and alignment, and Red Teaming. Collaborate with other engineering teams (trust and safety, ML Platform, Content Understanding, Search, Homefeed,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest. Mentor junior engineers on the Responsible AI team and across the company on the R-AI space. Work with the team and senior leaders at the company to define and drive technical strategy in this area. What we're looking for: Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations. Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs and VLMS) and their applications in large-scale Search and Recommender Systems. Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact. 4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products 1+ years experience leading cross-team engineering efforts. Masters or PhD in Comp Sci or related fields Nice to have: Publications at top ML conferences Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration Expertise in scalable realtime systems that process stream data Passion for applied research and the Pinterest product Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore can be situated anywhere in the United States. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $189,721—$332,012 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Requirements

Experience with machine learning algorithms and techniques
Strong programming skills in Python
Ability to collaborate with AI
Understanding of AI interview philosophy
Experience with data science and research
Ability to explain approach and thought process
Strong communication and collaboration skills
Experience with large-scale data processing

Benefits

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

Skills

Python Machine Learning AI Data Science Programming Engineering Research Science

AI Security Engineer

J.S. Held LLC

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Senior

AI Security

Machine Learning

Python

+4 more

Job Description

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

Requirements

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

Benefits

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

Skills

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

Software Engineer, AI Security

Google

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Intercontinental Exchange Holdings, Inc.

Senior

Software Development

Testing

Artificial Intelligence

+5 more

Job Description

MINIMUM QUALIFICATIONS: * Bachelor’s degree or equivalent practical experience. * 5 years of experience with software development in one or more programming languages. * 3 years of experience with testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. PREFERRED QUALIFICATIONS: * Master's degree or PhD in Computer Science or a related technical field. * 5 years of experience with data structures and algorithms. * 1 year of experience in a technical leadership role. * Experience with developing accessible technologies. ABOUT THE JOB: Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. RESPONSIBILITIES: * Design and develop key components of security services in Artificial Intelligence (AI) security for Google Cloud. * Collaborate with peers and area Team Leaders (TLs) to undertake productization of Secure AI initiatives. * Ensure standards of production availability and reliability of services while sharing the on-call responsibilities with the engineering team. * Contribute towards building technical capabilities in the India team by mentoring or coaching other team members.

Requirements

Design and develop key components of security services in Artificial Intelligence (AI) security for Google Cloud.
Collaborate with peers and area Team Leaders (TLs) to undertake productization of Secure AI initiatives.
Ensure standards of production availability and reliability of services while sharing the on-call responsibilities with the engineering team.
Contribute towards building technical capabilities in the India team by mentoring or coaching other team members.
Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience with testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Benefits

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

Skills

Software Development Testing Artificial Intelligence Natural Language Processing Maintaining Launching Software Products Software Design and Architecture Data Structures and Algorithms

Director, Model Risk Management

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Model Risk Management & Validation

Senior

Credit Risk Models

Stress Testing

Model Performance

+4 more

Job Description

Job Description Job Purpose With approximately 5 million contracts cleared every day across multiple asset classes, ICE Clear Europe (ICEU) is one of the world’s most diverse and leading clearing houses. As a clearing house, ICEU performs a critical role in ensuring market stability especially through periods of volatility and increased uncertainty. It provides central counterparty clearing and risk management services for global energy, interest rate, equity index, and agricultural derivatives. We leverage advanced quantitative models to effectively manage market risk for exchange-traded derivatives, credit risk of clearing members and counterparties, and liquidity risk associated with posted collateral. Our risk framework ensures resilience in dynamic market conditions while upholding the highest regulatory and operational standards. ICE Clear Europe is seeking a Director, Model Risk Management to lead its Model Risk Management team. The Model Risk Management team, part of the Risk Oversight Department, is responsible for all aspects of model risk, encompassing model governance & control, model validation, and model performance monitoring across a wide range of applications. This role is responsible for validating and monitoring risk models used in the clearing house, ensuring their accuracy, robustness, and compliance with regulatory standards. The position involves end-to-end model risk assessment across initial margin, add-ons, and stress testing frameworks, with a focus on market, credit, and liquidity risk. Specifically, the role extends significantly beyond model validation work to include broad model performance assessment, reviews of daily business decisions regarding model usage, new products, model changes and technical regulatory requirements. You will bring expertise on derivative pricing models, market, credit, margin, and liquidity risk models, stress testing, as well as model performance and policy issues. Asset classes covered include interest rates, equities, energy, agriculture, and funding products such as repo. This is an exciting opportunity for a technical expert looking for broader model and management exposure in a collaborative and flat organizational structure at the centre of financial markets. Responsibilities Manage and perform technical validations of pricing and risk models. This consists of assessing the conceptual soundness, performance and implementation of a model as well as the use, compliance with regulation and performing quantitative analyses, independent testing and challenging of data and models. Write and review high quality, detailed validation reports tailored to the audience (management, regulators). These include a detailed scope, model description, testing results and recommendations for model enhancements. Ensuring compliance with model risk governance framework and regulatory requirements (e.g. EMIR, PFMI). Interacting with model owners, model developers, senior management etc., by whom your report and recommendations will be discussed and challenged. Present to risk committees at executive and Board level and represent Manage development cycles of the Risk Oversight analytics library used to support validation, on-going monitoring activities, management and Board reporting metrics. Acting as an expert sounding board on risk and regulatory quantitative matters, providing support to other team members. As required, undertake ad hoc projects which may extend beyond a strict validation and/or monitoring categorization. Knowledge and Experience Work experience as a Quantitative Analyst in either a Model Development or Validation Role at a financial services institution Experience with CCP regulations (EMIR, CFTC, PFMI), banking regulations (FRTB) or CCP risk management (margining, default waterfall, auction) Management experience, leading teams of quantitative analysts Excellent project management skills A postgraduate degree in a quantitative discipline (i.e., mathematics, computer science) Strong programming in Python Strong analytical skills Strong verbal and written communication skills in English Teamwork and a collaborative attitude Ability to present complex issues in a clear and concise manner Confidence and the ability to provide challenge Desirable Knowledge and Experience Additional qualification in Mathematical Finance Familiarity with the banks or clearing regulatory frameworks for Model Risk and industry best practices Familiarity with Valuation and/or Risk Models (e.g. derivative pricing, market and counterparty credit risk models, VaR, backtesting, stress testing models) across asset classes Experience with regulatory interaction or submissions Good understanding of model governance including development and validation documentation requirements Familiarity with SQL and Tableau

Requirements

Manage and perform technical validations of pricing and risk models
Write and review high quality, detailed validation reports
Ensure compliance with model risk governance framework and regulatory requirements
Interact with model owners, model developers, senior management etc.
Perform quantitative analyses, independent testing and challenging of data and models

Benefits

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

Skills

Credit Risk Models Stress Testing Model Performance Derivative Pricing Models Market Risk Models Liquidity Risk Models Model Policy

Bachelor's/Master's Thesis on Process Model Validation

Co-reactive

Contract

$120,000 - $180,000*

3 days ago

Worldwide

Senior

Python

Data Analysis

Model Validation

+4 more

Job Description

Shape the Future of Construction with Co-reactive About Us: Co-reactive is revolutionizing the construction industry by transforming CO₂ into high-performance building materials. Our goal is to make CO₂-efficient construction possible for everyone, everywhere. Using our systems, we produce a sustainable cement substitute that binds CO₂ permanently and with long-term durability. We are currently scaling our production facilities to an industrial level — and we need you to help us do it! We’re a fast-growing, dynamic team of more than 10 employees, bringing together our technical center, production, and office at a single location in Erkrath, right near Düsseldorf. Your Role: In this thesis project, you will contribute to the development and validation of a computer model for Co-reactive’s carbon mineralization process. Your primary task will be to analyse real data from our newly commissioned demonstration plant and compare it with predictions from process simulations. You will work closely with our engineering and R&D teams and gain first‑hand experience in a real industrial environment developing CO₂‑negative building materials. Tasks Organize, preprocess, and structure datasets from the demonstration plant Quantification of deviations between model prediction and real-world data Implementation of improved modelling assumptions Requirements You are studying chemial engineering, computational engineering science, computer science or a related field. You have a strong interest for thermodynamics, computer science and chemical process modelling You are highly motivated to contribute to the development of sustainable construction materials and the growth of a startup company. Benefits You will gain direct insight into the industrial scaling by a technology startup You will be supported by a strong network of expertise within and outside the company. We are a dynamic team with flat hierarchies and a hands-on mentality, meaning decisions are made and implemented quickly. Ready to revolutionize the industry and actively contribute to a more sustainable future? Join our team at Co-reactive! Apply now and let's shape a better world together. Note: At Co-reactive, we prioritize diversity and equal opportunities. All qualified applicants will be considered regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, or disability status.

Requirements

Bachelor's/Master's Thesis on Process Model Validation
Chemical Engineering
Computational Engineering Science
Computer Science
Strong Interest in Thermodynamics
Computer Science and Chemical Process Modelling
Highly Motivated to Contribute to Sustainable Construction Materials

Benefits

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

Skills

Python Data Analysis Model Validation Computer Science Thermodynamics Chemical Process Modelling CO2 Mineralization

AI Risk Review Clinical Consultant III- Responsible AI

Kaiser Permanente

Full Time

$120,000 - $180,000*

3 days ago

United States

Worldwide

Senior

Machine Learning

Algorithmic tools

+2 more

Job Description

Job Summary: TPMG Responsible AI Program supports KPNC to responsibly, efficiently, and effectively develop, assess, and implement AI and algorithmic tools, while mitigating a broad set of risks, ensuring compliance, prioritizing equity, and positively impacting our patients, our staff, and our community. All operational TPMG AI and algorithmic software (including clinical decision support, AI/ML algorithms and tools, software as a medical device, predictive models, etc.) with emphasis on clinical care; undergo a risk review lead by the TPMG rAI team and our organizational partners. To support this work, the rAI Program is hiring a full-time TPMG Responsible AI Consultant to support and drive efforts to leverage algorithms and AI safely, effectively, equitably, and appropriately (minimizing risks and in compliance with all regulations). This role will help TPMG use AI to improve patient care, reduce clinician burden, and streamline workflows. Serves as part of a consultant team to ensure the alignment, buy-in, and coordination of diverse stakeholders to drive successful initiatives and projects within clinical settings within a technical area or workstream. Provides insight and supports the development and implementation of clinical initiatives, systems, and/or processes to a desired future state. Supports clinical or care delivery strategy and organizational alignment and prioritization of clinical initiatives by defining, developing, and evaluating performance metrics. Manages moderately complex projects or project components, participates in change management activities, and performs data analyses in support of care delivery or clinical initiatives. Supports vendor management as required. Monitors compliance of work activities by ensuring project plans and team members adhere to relevant policies and procedures. Essential Responsibilities: Pursues effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and members. Listens to, seeks, and addresses performance feedback; provides mentoring to team members. Pursues self-development; creates plans and takes action to capitalize on strengths and develop weaknesses; influences others through technical explanations and examples. Adapts to and learns from change, challenges, and feedback; demonstrates flexibility in approaches to work; helps others adapt to new tasks and processes. Supports and responds to the needs of others to support a business outcome. Completes work assignments autonomously by applying up-to-date expertise in subject area to generate creative solutions; ensures all procedures and policies are followed; leverages an understanding of data and resources to support projects or initiatives. Collaborates cross-functionally to solve business problems; escalates issues or risks as appropriate; communicates progress and information. Supports, identifies, and monitors priorities, deadlines, and expectations. Identifies, speaks up, and implements ways to address improvement opportunities for team. Serves as part of a consultant team to ensure the alignment, buy-in, and coordination of diverse stakeholders to drive successful initiatives and projects within care delivery or clinical settings within a technical area or workstream by making significant contributions to projects to identify and resolve issues of importance to the organization; identifying and ensuring representation and inclusion of appropriate stakeholders and team members; building rapport and partnerships with stakeholder teams, third party vendors, and senior management to produce results that are outcome driven; working with stakeholders to develop goals and set the prioritization of deliverables; discussing involvement of key processes (e.g. quality management, project change management, communication) and facilitating decisions necessary for the delivery of initiatives; communicating tough issues to stakeholders while maintaining an independent perspective; developing written materials for senior management other key clients; and making formal presentations and providing reports to various audiences as appropriate. Develops requirements for clinical, process, or system solutions within assigned technical area(s) by interfacing stakeholders and cross-functional teams as appropriate; leveraging multiple requirements gathering methodologies to identify clinical, functional, and non-functional requirements; developing and documenting comprehensive case studies to assess the costs, benefits, and ROI of proposed solutions. Provides insight and supports the development and implementation of clinical initiatives, systems, and/or processes to a desired future state by maintaining a working understanding of how current processes impact clinical operations across one or more technical areas; mapping current state against future state processes; identifying the operational impact of requirements on upstream and downstream solution components; providing options and recommendations to management and clinical stakeholders on how to integrate solutions and deliverables with current systems and processes; and identifying and validating value gaps and opportunities for process enhancements or efficiencies. Supports clinical or care delivery strategy and organizational alignment and prioritization of clinical initiatives by defining, developing, and evaluating performance metrics, standards, and methods to establish success; collaborating with multiple stakeholders, often with competing/conflicting objectives, to ensure cohesive and reachable metrics; and managing assigned initiatives or portfolio to ensure delivery of measurable results and alignment with strategic objectives. Serves as an advocate of continuous learning and professional development by keeping abreast of industry practices, standards, and benchmarks; attending and participating in roadshows, conferences, and speaking events; contributing to the ongoing enhancement and innovation of clinical consulting practices, standards, and methods across KP; serving as an advocate to ensure continuous learning and improvement is championed as a people strategy; and providing training and guidance to stakeholders as appropriate. Manages moderately complex projects or project components by coordinating stakeholder contacts; recommending or assigning team resources based on project needs and team member strengths; consulting in the development, analysis, and management of project plans, including proposed project structure, approach and work plan; coordinating project schedules and resource forecasts; proactively monitoring and identifying project or clinical initiative risks, issues, and trigger events; developing mitigation plans and strategies; and resolving or escalating risks or issues as appropriate. Participates in change management activities associated with care delivery or clinical initiatives by engaging stakeholders to obtain support and buy in for changes; collaborating with management, project champions, and clinical owners to communicate and align improvement initiatives with strategic objectives; using appropriate change management methods and approaches; and ensuring stakeholders embrace a change management mindset, understand intent and purpose, and support a culture of change. Performs data analyses to support care delivery or clinical initiatives by using appropriate data analysis tools and approach to assess performance; deploying suitable data gathering and analysis methods (e.g., process observation, hard data, etc.); defining data requirements and obtaining customer agreements, including customer requirements as appropriate; conducting analyses and performing experimental tests to evaluate the effectiveness of clinical solutions; identifying and alleviating risks through data-driven analysis; and preparing and sharing data/analysis summaries and incorporating into action plans as appropriate. Supports vendor management as required by assisting with reviews of vendor performance levels; ensuring service level agreements are met; and partnering with Procurement and/or Legal to develop service level and/or scope of work agreements as appropriate. Monitors compliance of work activities by ensuring project plans and team members adhere to KP, departmental, and/or clinical policies and procedures. Minimum Qualifications: Bachelors degree in Nursing, Health Care, Public Administration, Public Health, Statistics, Science or a directly related field and minimum three (3) years experience in consulting, data analytics, or project management in clinical operations or a health care environment OR Masters degree in Nursing, Health Care, Public Administration, Public Health or a directly related field and minimum one (1) years experience in consulting, data analytics, or project management in clinical operations or a health care environment, or a directly related field OR Minimum six (6)years experience in consulting, data analytics, or project management in clinical operations or a health care environment, or a directly related field.

Requirements

Pursues effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and members.
Listens to, seeks, and addresses performance feedback; provides mentoring to team members.
Adapts to and learns from change, challenges, and feedback; demonstrates flexibility in approaches to work;
Supports and responds to the needs of others to support a business outcome.
Collaborates cross-functionally to solve business problems; escalates issues or risks as appropriate;

Benefits

401k Matching
Health Insurance
Paid Time Off
Professional Development
Remote Work

Skills

AI Machine Learning Algorithmic tools Clinical decision support Predictive models

Data & AI Governance Operations Manager

Booking.com

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Senior

Data governance

AI Policy

Regulatory Compliance

+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 dsee. 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 innovation and business value through leveraging data and AI. Role description: We are looking for an Data & AI Governance Operations Manager to join our Data & AI Governance organisation. Implementation Manager must have demonstrated experience leading large cross-organizational Data & AI Governance initiatives, and have a deep technical background in Data & AI Governance Standards & Frameworks, Data Ownership & Stewardships, Risk Management, Regulatory Change, and Business Operations. They must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means not only being able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and help drive change. Key Job Responsibilities and Duties: Data and AI Governance: Data Stewardship: Manage and define Data Ownership and Stewardship structures, ensuring clear accountability and proper onboarding of data stewards. Data & AI Governance Principles: Apply and enforce Data & AI Governance principles, processes, and standards to ensure consistent and effective governance practices. Regulatory Compliance: Ensure adherence to Data & AI regulatory policies, such as GDPR, DMA, SOx, and the EU AI Act, by staying updated on compliance requirements and integrating them into governance frameworks and implementation practices. Data & AI Governance Practices: Oversee data cataloging, data profiling, metadata management, data classification, data lineage, master data management, and workflows, ensuring robust governance of critical data elements. Project Management: Craft Methodology and Standards: Apply structured methodology to and lead project/change management activities and train junior team members on project management methodologies E2E Project Management: Lead independently End-to-end (E2E) high complexity projects from scoping to execution, analysis, recommendation and implementation. Project Initiation and Planning: Drives the program scoping and planning working with different teams and departments by 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: 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 to Executive 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) and coach other teams members facilitation best practices Risk Management:Identify, assess, track and mitigate issues and risks at multiple levels Project Management Tooling: Utilize Atlassian Jira and Confluence to manage project workflows, track progress, and collaborate effectively across teams. Change Management: Apply change management methodologies, with a solid understanding of the change curve and process, to guide teams through transitions and ensure smooth adaptation to changes. Role Qualifications and Requirements: 4+ years of experience around Data Governance, or, alternatively, 5+ years of experience in working with Data, coming from Data Analysis, Business Analysis, Analytical background 1-2 years of experience managing an organization of program managers, including building and growing the team 5-8 years or relevant project management experience PMP or Agile Project Management or equivalent certification is preferred. Data Governance certification (e.g DAMA, DGI, etc.) or equivalent certification is a plus, though not a requirement. 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

Manage and define Data Ownership and Stewardship structures
Apply and enforce Data & AI Governance principles, processes, and standards
Ensure adherence to Data & AI regulatory policies
Oversee data cataloging, data profiling, metadata management, data classification, data lineage, master data management, and workflows
Lead independently End-to-end (E2E) high complexity projects from scoping to execution

Benefits

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

Skills

Data governance AI Policy Regulatory Compliance Risk Management Project Management Data Stewardship Data Ownership

Senior AI Security Analyst

AppDirect

Full Time

$120,000 - $180,000*

3 days ago

Worldwide

Live Nation Entertainment

Senior

Data classification

Governance Frameworks

DLP tools

+3 more

Job Description

About AppDirect Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture - one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About You We’re looking for talented yet humble individuals who are smart, passionate, and want to drive disruption in the Information security industry. If you thrive in a fast-paced, collaborative workplace, AppDirect provides an environment where you will be challenged and inspired every day. If you relish the freedom to bring creative, thoughtful solutions to the table that reflect your experience and personality, there's no limit to what you can accomplish here. What you'll do and how you'll have an impact Work within the Information Security team as an AI Security Analyst, owning the security and governance of AI tool usage across AppDirect's corporate environment. Define, operationalize, and continuously improve the corporate AI usage policy, including acceptable use guidelines, tool classification, and employee awareness. Lead the evaluation and ongoing monitoring of AI tools used by employees (e.g. ChatGPT, Copilot, Claude, Lovable, etc.), assessing their data handling practices and associated risks. Own and mature the company's DLP capabilities, with a focus on preventing sensitive data from being inadvertently exposed through AI tools and corporate SaaS platforms. Drive data governance initiatives, including classifying crown jewel data assets, defining handling requirements, and ensuring controls are operationalized across the organization. Collaborate with IT, Legal, Privacy, and Engineering to ensure corporate AI usage aligns with regulatory obligations (GDPR, HIPAA, SOC 2, etc.). Investigate incidents related to shadow AI usage, unauthorized data sharing, or policy violations involving AI tools. Monitor the evolving AI threat and tooling landscape and translate findings into actionable policy or control improvements. Contribute to AI governance documentation and support executive or board-level reporting on AI risk posture. What we're looking for 5 years of experience in information security, with demonstrated exposure to data protection, DLP, or AI governance Strong expertise in DLP tools and platforms, including policy configuration, tuning, and incident triage, along with data classification and governance frameworks to identify and protect sensitive data assets. Experience evaluating SaaS and AI tools for security and privacy risks as part of vendor or tool onboarding processes. Solid understanding of how employees interact with AI tools in a corporate setting and the associated data leakage and shadow AI risks Familiarity with CASB and access control mechanisms applied to AI and SaaS tool usage Working knowledge of AI governance frameworks such as NIST AI RMF or ISO/IEC 42001 Understanding of relevant regulatory requirements (GDPR, HIPAA, SOC 2) and their implications for corporate AI usage Proven ability to work cross-functionally and communicate data and AI risks clearly to non-technical stakeholders Creative, risk-aware, and solution-oriented mindset — comfortable operating in a space where standards and tooling are still maturing Any Information Security certification (CISSP, Security+, CIPP, CISM) is an asset At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice

Requirements

5 years of experience in information security
Strong expertise in DLP tools and platforms
Experience evaluating SaaS and AI tools for security and privacy risks
Solid understanding of how employees interact with AI tools in a corporate setting
Familiarity with CASB and access control mechanisms applied to AI and SaaS tool usage

Benefits

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

Skills

Data classification Governance Frameworks DLP tools AI tool usage SaaS and AI tools CASB and access control mechanisms

Head of Privacy and AI Compliance (m/f/diverse) - Executive level

Aumovio

Full Time

$120,000 - $180,000*

5 days ago

Worldwide

AI Compliance & Legal

Executive

Data Protection

Artificial Intelligence

Compliance

+4 more

Job Description

Company Description Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide. Job Description Your tasks will include the following activities: Leading an international team of privacy and AI Compliance experts Responsible for Data Protection and Artificial Intelligence compliance, its continuous development and improvement globally Ensuring provision of high-quality advice and support on data compliance Responsible for drafting, implementation, managing and continuous improvement of policies, manuals, standards and processes relating to data and AI compliance Responsible for the implementation of a DPMS Supervising data compliance investigations and tracking of incidents and breaches and ensuring the rights of all data subjects following national and international laws Develop a data compliance strategy based on Compliance Department strategy and Compliance Management System and implement initiatives for the development of KPI and Compliance overall goals Develop and continuously improve a strategic and comprehensive data compliance program considering all relevant jurisdictions and internal regulations that enable consistent, effective data compliance practices to minimize risks of Artificial Intelligence as well as national and international data processing/transfer/use across all media type Implement and continuously improve data compliance governance and coordinate data compliance services, strategy, initiatives Continuously improve digitalization of data compliance and foster innovation by implementing and maintaining a global digital data compliance management system Actively drive and continuously improve data compliance risk assessment/analysis, mitigation and remediation Represent the company at and establish trustful relationships with government bodies like data protection authorities, prosecutors and other regulators Qualifications Academic Degree in Law or a comparable education Professional experience in the field of data privacy and artificial intelligence Project management experience in an international context Very good handling with MS Office software Business fluent German and English language skills (written and spoken) Good communication skills and strong team player mentality Intercultural competence Passion for project management processes and systems Willingness to travel Applications from severely handicapped people are welcome. Additional Information Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next. Legal Entity: Aumovio SE (1005) Referral Bonus : No Job flexibility: Onsite Job Leadership level: Leading People Working time: Full Time

Requirements

Academic Degree in Law
Professional experience in data privacy and artificial intelligence
Project management experience in an international context
Very good handling with MS Office software
Business fluent German and English language skills
Good communication skills and strong team player mentality
Intercultural competence
Passion for project management processes and systems

Benefits

Company Retreats
Conference Budget
Coworking Space
Dental Insurance
Employee Assistance Program
Employee Discounts
Flexible Hours
Gym Membership

Skills

Data Protection Artificial Intelligence Compliance Project Management MS Office German English

Development Manager, Privacy & AI Governance

Full Time

$120,000 - $180,000*

6 days ago

India

Worldwide

Senior

Java

AWS

SQL

+5 more

Job Description

Job Summary: Location: Gurugram, Haryana, India / WFH THE JOB We’re looking for a Development Manager who is passionate about technology and has a strong desire to learn and grow their skills. They will report to the Senior Director of Product & Technology, Privacy & AI Governance, and lead a team of professional-level software developers to deliver high‑quality, scalable, and secure technology solutions. This role blends people leadership, technical oversight, and cross‑functional collaboration. The Development Manager sets goals and objectives for team members, ensures compliance with engineering best practices, and removes barriers to enable the successful delivery of products and services. This manager oversees their team's operational results. Problems faced may be difficult but are typically not complex. The Development Manager ensures that organizational policies, practices, and procedures are clearly understood and followed by all direct reports, customers, and stakeholders. WHAT THIS ROLE WILL DO Leadership & People Management Manage, mentor, and develop a team of developers, providing coaching, feedback, and career growth opportunities. Set goals and objectives for team members that align with the overall team’s OKRs, roadmap, and strategy Ensure team members understand and follow all engineering, security, and organizational policies and procedures. ·Support hiring, onboarding, and technical grooming of new team members. Project & Delivery Management Plan, lead, and deliver development projects on time and within scope. Collaborate with Product, Architecture, QA, and other partners to define requirements and deliver high-quality solutions. Apply Agile methodologies, including Scrum and Kanban. Identify risks, propose mitigation strategies, and remove blockers. Technical Oversight Provide guidance on software architecture, design patterns, and coding standards. Conduct code reviews (when applicable). Support troubleshooting and debugging of complex issues. Drive adoption of CI/CD pipelines and cloud best practices. Ensure performance, security, and privacy considerations are built into solutions. Process & Continuous Improvement Improve development processes, quality standards, and engineering tooling. Promote continuous learning and innovation. Encourage operational excellence and automation. WHAT THIS PERSON WILL BRING Required Skills 7 to 12 years of experience. Strong Core Java Experience and advanced working knowledge of J2EE (Core Java 8, REST, Webservices, and JDBC), Hibernate, and Web Services-related technologies. Minimum of 8+ years of hands-on experience in J2EE Development Strong SQL & RDBMS skills and developer experience on databases like MySQL, SQL Server, and Oracle. 3+ years of experience working with AWS. Fluent/Strong English-speaking skills. Nice to have Experience with performance tuning for the speed, efficiency, and scalability of Java-based applications. Experience working with Kafka. Experience working with Docker/ Kubernetes Experience working with NoSQL Experience with CI/CD and DevOps. Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains. Recognized for seven years as a Great Place to Work® and named one of Fortune’s World’s Most Admired Companies, Live Nation Entertainment is the world’s leading live entertainment company comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Our world-class teams specialize in all aspects of the live entertainment industry, from ground-breaking innovations in ticketing, global venue development and operations, concert promotion and production, sales and brand partnerships, and unparalleled artist management supported by professionals in all facets of corporate operations. We believe in taking care of the countless employees helping artists bring live music to fans all around the world. Our many unique benefit programs are designed to help our teams live life to the fullest including generous vacation, healthcare, retirement benefits, student loan repayment, tuition reimbursement, six months of paid caregiver leave for new parents including fostering and perks like Roadie Babies helping new parents care for their babies on work trips. And of course, access to free live events through our exclusive employee ticketing program. There is no bigger stage for your career. See what your future looks like at Live Nation Entertainment.

Requirements

7 to 12 years of experience
Strong Core Java Experience
Advanced working knowledge of J2EE
Minimum of 8+ years of hands-on experience in J2EE Development
3+ years of experience working with AWS
Fluent/Strong English-speaking skills

Benefits

Health Insurance
Dental Insurance
Disability Insurance
Employee Assistance Program
Flexible Hours
Gym Membership
Home Office Budget
Internet Stipend

Skills

Java AWS SQL J2EE Hibernate Web Services RDBMS MySQL

Staff Machine Learning Engineer- AI Governance

Visa

Full Time

$169.1k - $270.8k

6 days ago

Worldwide

Staff

Machine Learning

Generative AI

Python

+1 more

Job Description

Company Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description AI Governance (AIG) Engineering team is part of the Data and AI Platform (DAP) technology organization in Visa. The team’s mission is to provide a Trustworthy AI – an engineering solution for Visa to achieve centralized AI excellence across Visa. We aim to develop, assess and deploy AI systems in a responsible and trustworthy way at Visa. This is a fantastic opportunity to join the effort undergoing in building the AI Observatory product for Visa. The AI Observatory product provides an inventory of ML models and AI systems, oversight for model’s full lifecycle, and governance of all models’ accuracy, transparency, fairness, and robustness. We are also uplifting domain-specific models to the unified AI Governance framework and streamline the modeling efforts to a centralized AI excellence across Visa. As an AI Engineer in AI Governance engineering team, you will have the unique chance to make a direct and meaningful impact by building and delivering solutions that power AI Governance engineering solutions. You will design, enhance, and build solutions dealing with the next generation AI/ML and Generative AI technology and be an agent of transformation. We deliver and support strategic goals and have a lasting impact on our enterprise. We aim to stay ahead of the curve adapting to the advancement of Generative AI and keep our business miles ahead of our competitors. Responsibilities: You will design, develop, and maintain scalable and reliable AI governance services. You will apply robust architectural principles to create an effective and efficient solution. You will work closely with interdisciplinary teams, including data scientists, product managers, and legal experts, to ensure compliance of AI systems with ethical standards and regulatory requirements. You will be instrumental in developing an advanced Responsible AI platform utilizing the latest Generative AI technology. You will address the evolving challenges in AI governance, ensuring the creation of responsible and trustworthy AI solutions. You will investigate and assess emerging technologies and third-party solutions, prototyping and strategizing their integration within Visa. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD. Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. MS or Ph.D. degree in Computer Science, Engineering, or related field. Participated in all phases of development—including design, coding, testing, debugging, deployment, and monitoring of applications. Hands on with Python or React.js skills, capable of reviewing auto generated code for potential issues. Handled containers and orchestration with Dockers and Kubernetes Evaluate software, write proof of concepts, and design new systems. Strong understanding of agentic frameworks. Experience with Gen AI models and developing applications that leverage their capabilities. Handled AI Governance issues - Bias, Drift, Risk, Privacy and Security. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $169,100.00 to $270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Job Family Group: Engineering and Technology

Requirements

Design, develop, and maintain scalable and reliable AI governance services
Apply robust architectural principles to create an effective and efficient solution
Work closely with interdisciplinary teams to ensure compliance of AI systems with ethical standards and regulatory requirements
Develop an advanced Responsible AI platform utilizing the latest Generative AI technology
Investigate and assess emerging technologies and third-party solutions, prototyping and strategizing their integration within Visa

Benefits

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

Skills

Machine Learning Generative AI Python API Experience

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (Global)

Contract

$0.01k - $0.014k

6 days ago

Worldwide

Entry

Large Language Models

Problem-solving

Language analysis

+3 more

Job Description

Are you curious, detail-oriented, and excited about shaping the future of artificial intelligence? We’re looking for AI Evaluation & Annotation Specialists to help train and improve Large Language Models (LLMs). In this role, you’ll review AI-generated responses, provide corrections, evaluate quality, and follow structured guidelines to ensure accuracy and consistency. No engineering background required — if you enjoy problem-solving, analyzing language, and following structured tasks, this role is a great fit. This is a hands-on, production-based role where accuracy, focus, and consistency matter. What You’ll Do Review AI-generated responses and rate them for clarity, correctness, and relevance. Annotate and label content based on project-specific guidelines. Follow detailed written instructions and apply them consistently. Generate or evaluate prompts depending on assignment type. Work with QA Leads to apply feedback and continuously improve task quality. Report completed work daily and meet productivity and quality standards. What Makes You a Strong Fit You’re detail-oriented and enjoy accuracy-based work. You can follow instructions carefully and apply them consistently. You’re comfortable working independently with minimal supervision. You have strong reading comprehension and critical thinking skills. You communicate clearly and respond to feedback professionally. Experience with annotation, evaluation, translation, linguistics, or QA is helpful, but not required — training and guidance is provided. Schedule & Work Expectations This role is aligned with specific QA and project schedules. You must be available during one of the below time windows depending on your language team: Language Shift Window (PST) 9:00 AM to 6:00 PM Standard expectation: One consecutive 8-hour shift Alternative: Two 4-hour shifts (both must fall fully within the allowed schedule) Only logged, approved hours are paid. This project follows a no paid holidays / no paid time off model. Location Restrictions We are unable to accept applicants currently residing in: Argentina, Bolivia, Brazil, Canada, Chile, China, Colombia, Cuba, Ecuador, Iran, Iraq, North Korea, Mexico, Panama, Russia, Sudan, Syria, Ukraine (Crimea, Luhansk, Donetsk), United Kingdom, Venezuela. Why Join ✔ Work with a global team ✔ Entry point into the growing AI and language technology industry ✔ Exposure to real-world AI model training ✔ Skill development in annotation, QA/evaluation, and structured AI tasks This is a strong opportunity for those looking to grow within AI data work, linguistic evaluation, QA, or model training roles. Compensation Range Rates vary by language and experience level (L1/L2). Below are current approved ranges in USD: $10.00 USD to $14.00 USD per hour Assessment Requirement All applicants are required to complete a short skills-based assessment as part of the selection process. This assessment is unpaid and is used solely to confirm eligibility and alignment with project quality standards. Completing the assessment does not guarantee selection; however, it is mandatory in order to be considered for this role. Fluency in Italian, with strong written and verbal communication skills. Bachelor's degree in Linguistics, Computer Science, or a related field; or equivalent experience. Experience or interest in AI, Machine Learning, or data annotation preferred. Strong attention to detail and ability to work with complex data sets. Familiarity with translation and localization processes is an advantage. Ability to work independently and collaboratively in a fast-paced environment. Proficient in using Artificial Intelligence and data annotation tools, with a willingness to learn new technologies.

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Large Language Models Problem-solving Language analysis Critical thinking Italian Structured Guidelines

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (Global)

Contract

$0.01k - $0.014k

6 days ago

Worldwide

Entry

Italian

Large Language Models

Structured Guidelines

+3 more

Job Description

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Italian Large Language Models Structured Guidelines Problem-solving Language analysis Critical thinking

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (Global)

Contract

$0.01k - $0.014k

6 days ago

Worldwide

Entry

Italian

Large Language Models

Structured Guidelines

+3 more

Job Description

Requirements

Detail-oriented and enjoy accuracy-based work
Can follow instructions carefully and apply them consistently
Comfortable working independently with minimal supervision
Strong reading comprehension and critical thinking skills
Communicate clearly and respond to feedback professionally

Skills

Italian Large Language Models Structured Guidelines Problem-solving Language analysis Critical thinking

Senior Manager, IT - Cloud and AI Security

Builders FirstSource

Full Time

$150,000 - $250,000*

6 days ago

Worldwide

Senior

Cloud Security

AI/ML

IAM

+5 more

Job Description

We are Builders FirstSource, America’s largest supplier of building materials, value-added components and building services to the professional market. You’ll feel proud of the work you do here every day to transform the future of home building and help make the dream of home ownership more achievable. At BFS, we believe building a successful career is not solely defined by a degree. Your experience, skills, and passion are just as important, if not more so. As such, we are committed to creating a diverse and inclusive workplace that welcomes candidates from all backgrounds and experience levels. PURPOSE The Senior Manager for Cloud Architecture and AI Security will provide strategic leadership and oversight for the design, implementation, and governance of secure cloud architectures and AI-driven systems across the enterprise. This role requires deep technical expertise, relevant hands-on experience and strong leadership skills to influence security strategy, drive innovation, and ensure compliance with security best practices and standards. They will partner with executive leadership, technology teams, and business units to embed security into cloud-native applications, AI/ML pipelines, and data platforms, while shaping the organization’s approach to emerging threats and regulatory requirements. ESSENTIAL DUTIES AND RESPONSIBILITIES Strategic Leadership Define and execute the enterprise strategy for cloud and AI security. Influence security architecture decisions across multiple business units and technology domains. Serve as a trusted advisor to senior executives on cloud and AI security risks and opportunities. Cloud Security Architecture Oversee the development of secure architectures for multi-cloud environments (AWS, Azure, GCP). Champion zero-trust principles, advanced IAM strategies, and encryption standards. Ensure alignment with industry frameworks (CIS, NIST, ISO 27001) and regulatory mandates. AI Security Establish governance and security controls for AI/ML models, data pipelines, and inference environments. Drive initiatives to mitigate risks such as adversarial attacks, model poisoning, and data integrity issues. Collaborate with data science and engineering leaders to integrate security into the AI lifecycle. Risk Management and Compliance Conduct enterprise-level risk assessments and threat modeling for cloud and AI deployments. Report on security posture, emerging risks, and compliance to executive leadership. SUPERVISORY RESPONSIBILITIES Lead and mentor security engineers. Foster a culture of innovation, accountability, and continuous improvement. Manage resource allocation and vendor relationships. MINIMUM REQUIREMENTS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Bachelor’s degree in Computer Science, Cybersecurity, or related field. 10+ years of experience in cybersecurity, with at least 5 years in cloud security architecture and leadership roles. Proven expertise in cloud platforms (AWS, Azure, GCP) and security frameworks (CIS, NIST, ISO 27001). Strong understanding of AI/ML security principles and emerging regulatory requirements. Experience with secure DevOps (DevSecOps) and container security (Kubernetes, Docker). Familiarity with global compliance standards (GDPR, CCPA, AI Act). Ability to lead large-scale security transformation initiatives. Deep understanding of cloud shared responsibility models and threat landscapes. Experience conducting or supporting cloud incident response and forensic analysis. PREFERRED QUALIFICATIONS Master’s degree Relevant certifications: Security: CISSP, GNFA, GCIA Cloud: Azure Security Engineer, GPSC, GCAD AI/ML certifications: GASAE, CoPilot Ninja or equivalent learning credentials COMPETENCIES Evaluates Problems: Evaluates and analyzes different types of information objectively to identify appropriate solutions; writes fluently, establishing the key facts clearly and interprets numerical data effectively. Technical Communication/ Presentation: Communicates with clarity and precision, presenting complex information in a concise format that is audience appropriate. Adjusting and Driving Change: Takes a positive approach to tackling work and embraces change; invites feedback relating to performance and deals constructively with criticism. Identifies the need for and drives change when required to achieve objectives. Focuses on Customers: Understands and anticipates customer needs and takes action to provide high-quality products and services to exceed expectations. Demonstrates Business Acumen: Demonstrates working knowledge of market, economic, legal and regulatory environments and how they impact the business. Agile Best Practices: Understands how agility is leveraged in IT ways of working. Adopts agile best practices as appropriate throughout the assigned work lifecycle. Responds to feedback quickly based on comments of internal and external customers and needs of the market. Bias for Action: Takes initiative and identifies what needs to be done and acts without waiting to be asked. Executes work in a timely manner. Suggests improvements to current ways of working. BFS COMPETENCIES Business and Financial Acumen Demonstrates depth of understanding for the P&L and financial analysis Teaches business and financial acumen to others. Understands KPIs and how BFS makes money. Knows the different business segments and how they relate to one another. Understands customer sales and engagement. Demonstrates functional and/or technical expertise. Understands complex issues and demonstrates problem solving skills. Understands how to maximize business results regardless of industry cycle. Results Driven Holds self and others accountable. Communicates and sets clear goals with plans to deliver. Manages competing priorities effectively. Demonstrates appropriate urgency. Drives to exceed expectations in alignment with our BFS SPICE values. Embraces and follows best practices. Demonstrates self-starter, can-do attitude. Strategic Thinking and Decision Making Leverages resources and teams around them to solve problems and create mutually beneficial outcomes. Demonstrates willingness and courage to make tough decisions in a timely manner. Balances short-and-long term priorities Demonstrates proactive versus reactive thinking. Asks questions to identify root cause and analyze situations more accurately. Servant Leadership Demonstrates humility by putting others first. Builds trust-based relationships. Leads by example with kindness and respect. Collaborates well across all areas of the business. Advocates for others Actively listens to understand the meaning and intent of what the other person is communicating. Demonstrates authenticity and encourages others to do the same. Emotional Intelligence Demonstrates situational awareness – knows when and how to adjust leadership style in different situations. Demonstrates self-awareness – understands strengths and weaknesses. Demonstrates empathy – puts themselves in other’s shoes. Assumes positive intent. Develops and Leads Others Drives alignment through clear communication of vision, goals, and expectations. Invests time on a regular basis in performance feedback and developmental conversations. Fosters a respectful and inclusive environment. Empowers, motivates, and inspires others. Coaches and mentor others for their development. Guides and persuades others to deliver positive outcomes. Growth Mindset Demonstrates a growth mindset; takes appropriate risks, fails fast and forward, learns from mistakes. Perseveres and champions growth, even in the face of resistance, ambiguity, or possible failure. Thinks like an owner with an entrepreneurial spirit. Demonstrates and encourages intellectual curiosity. Continuous learner; seeks opportunities and knowledge for personal and professional growth. Sees possibilities over problems – actively seeks solutions. Innovation Encourages out-of-the box thinking to create new ways of doing things. Continuously seeks to improve and simplify pain points in the business. Anticipates, embraces, and leads change. Develops and executes breakthrough strategies. Integrity Does the right thing even under challenging circumstances? Communicates with honesty. Consistently treats others fairly and equitably. Demonstrates reliability and does what they say they will do. Conducts tough conversations and delivers difficult messages with kindness and respect. WORK ENVIRONMENT / PHYSICAL ACTIVITY The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Subject to both typical office environment and outside locations with temperature and weather variations. Must be able to lift and carry up to 25 pounds. Occasional travel may be required. This position was posted on April 10, 2026 and we anticipate it will be open for a minimum of five days, though it may be open for a longer period. We encourage your prompt application. Successful, innovative, and fulfilling careers are built here, and your professional development is a high priority. We invest in your future through the latest training, tools, and technologies. Highly collaborative, we work together to solve problems and find better ways to continually grow our business and careers every day. You’ll be empowered to try new things, gain new experiences, and build a career with unlimited horizons. The scale and depth of resources that being the #1 building materials distributor in the nation provides a variety of opportunities for you to explore – all in a friendly, people-first environment. Join us to be more, do more, and build more, together at BFS. In addition to the base wage listed, this position is also eligible to earn an annual bonus subject to changes in plan design and documents and in accordance with applicable law. Eligibility and the amount of the bonus varies based on overall company success, thresholds met and other terms and conditions of the Company’s active bonus policy for the respective year. At Builders FirstSource, we offer competitive, affordable benefits designed to make life better for you and the people you love. Our goal is simple — provide great plans that help you and your family to live happier, healthier and more secure lives. This role is eligible for medical, dental, vision, and disability insurance plans, 401(k) retirement savings plan, PTO (including paid sick time), and 8 paid holidays per year (for salaried and hourly team members). Details about Builders FirstSource’s benefits offerings are available here www.bldrbenefits.com. Builders FirstSource is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status or status as an individual with a disability. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with Builders FirstSource, please call (214) 765-3990 or email: [email protected]. Please do not send resumes to this email address - it is intended only to be used to request an accommodation in submitting an application for a job opening. If there's legally required pay transparency information missing from our job posting, it's not intentional and we'd like to know. To let us know, please email the job title and location to [email protected]. Please do not send resumes to this email address - it is intended only be used to provide a notice of non-compliance. Please note that due to the volume of applications received, we are unable to respond to individual inquiries about the status of your application.

Requirements

10+ years of experience in cybersecurity
Bachelor's degree in Computer Science, Cybersecurity, or related field
Strategic leadership and oversight for cloud architectures and AI-driven systems
Deep technical expertise and relevant hands-on experience
Strong leadership skills to influence security strategy and drive innovation

Benefits

401k Matching
Health Insurance
Paid Time Off
Performance Bonus
Professional Development
Remote Work
Retirement Plan

Skills

Cloud Security AI/ML IAM Encryption Zero Trust ISO 27001 NIST CIS

AI Evaluation & Annotation Specialist (Entry-Mid Level) - Italian (US)

Contract

$0.01k - $0.014k

6 days ago

Worldwide