Sr. SDE, Responsible AI

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 that ensure Amazon's AI is fair, safe, transparent, and compliant with emerging global regulations. We are looking for a Software Development Engineer who wants to work at the frontier of AI governance — building the platform that gives Amazon real-time visibility into the compliance posture of thousands of AI systems across the company.

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 build the platform 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 architecture and shape the product direction.

As an SDE on the Responsible AI team, you will design and build systems that discover AI workloads across Amazon's fleet, classify them against regulatory risk frameworks, streamline compliance evidence collection through paved-path tooling, and surface actionable insights to both builders and leadership. You'll collaborate closely with Applied Scientists developing AI-powered classification agents, privacy engineers, and policy experts navigating a rapidly evolving regulatory landscape.

This role is for builders who are energized by ambiguity, excited to define the technical direction of a new product, and motivated by the societal impact of ensuring AI systems are developed responsibly.

- Design, develop, and operate distributed services that automatically discover and catalog AI systems across Amazon's infrastructure

- Build classification and risk-assessment pipelines that map AI systems to regulatory frameworks and internal compliance requirements

- Develop self-service tooling and paved-path integrations that help builder teams demonstrate conformance with responsible AI expectations

- Build the infrastructure that hosts and scales ML-powered compliance workflows developed by our Applied Science team

- Partner with Privacy, Legal, and RAI Science to translate evolving regulatory requirements into scalable technical solutions

- Maintain a high operational excellence bar for systems that inform regulatory reporting timelines