Amazon Ai Engineer Jobs (NOW HIRING)

AI is transforming every corner of Amazon - and with that transformation comes the responsibility to get it right. The Amazon Responsible AI (RAI) team is building the systems and programs that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Sr.

Product Manager - Technical who wants to define the product vision for AI governance at Amazon scale - building the tools and experiences that help thousands of builder teams develop AI responsibly without slowing down.
No one has solved AI governance at this scale before. Today, tracking thousands of AI systems against evolving regulatory frameworks, internal expectations, and voluntary commitments is a problem that's impossible to manage manually. You'll define the product that makes it possible - automating what would take an army of auditors, and giving builders the tools to do the right thing without slowing down

This is a greenfield opportunity on a small, senior team building from scratch alongside Amazon Scholars, Principal Applied Scientists, and policy experts. You'll own the product vision and shape the platform direction.
As a PMT on the Responsible AI team, you will define and drive the product strategy for our AI governance platform, working at the intersection of technology, policy, and science. You'll partner deeply with engineering teams building the platform, Applied Scientists developing AI-powered classification and assessment models, and policy experts interpreting regulatory requirements - turning ambiguity into a clear, prioritized roadmap that delivers customer value.
This role is for product leaders who thrive in ambiguity, are energized by the challenge of defining new product categories, and are motivated by the societal impact of ensuring AI systems are developed responsibly.
Key job responsibilities
- Define the product vision, strategy, and multi-year roadmap for Amazon's AI governance platform - the system that provides portfolio-level visibility into AI compliance posture across the company
- Own the end-to-end product lifecycle for responsible AI tooling: from discovery and customer research through requirements definition, development, launch, and adoption at scale
- Translate complex regulatory requirements (EU AI Act, NIST AI RMF, emerging state/federal AI legislation) and internal responsible AI expectations into builder-friendly product experiences and self-service workflows
- Drive product strategy for AI system discovery, risk classification, and compliance evidence collection - working backward from builder needs to reduce friction while meeting governance obligations
- Define metrics and KPIs that measure responsible AI adoption, tool effectiveness, and compliance coverage - using data to prioritize roadmap investments and communicate progress to leadership
- Partner with Applied Scientists to shape AI-powered features (automated risk classification, compliance gap detection, evidence generation) and define how ML models integrate into the product experience
- Conduct customer research with internal builder teams across Amazon to deeply understand pain points, workflows, and compliance challenges - and turn those insights into prioritized product requirements
- Work cross-functionally with Privacy, Legal, Security, and RAI Science to ensure product decisions align with regulatory obligations, customer trust requirements, and scientific best practices
- Influence engineering architecture decisions by evaluating technical trade-offs, understanding system constraints, and ensuring the platform can scale to support Amazon's AI portfolio
- Develop and present product strategy, roadmaps, and business cases to VP+ leadership - clearly articulating the value proposition and investment rationale for responsible AI tooling
About the team
Amazon Responsible AI works to maximize the benefits and minimize the risks of AI technology across Amazon

We define responsible AI through core dimensions - Fairness, Safety, Privacy, Security, Veracity, Robustness, Explainability, Transparency, Controllability, and Governance - and we build the tools and programs that help Amazon's builder teams deliver on those dimensions at scale. Our team includes Applied Scientists, Amazon Scholars, Security Engineers, TPMs, SDEs, and policy specialists. We are science-led, independent advisors who prioritize enablement over enforcement - providing expert guidance and practical solutions that make responsible AI easy to implement.

We are building the next generation of AI governance infrastructure from the ground up.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences

Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness

Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture

When we feel supported in the workplace and at home, there's nothing we can't achieve