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.
Key job responsibilities
- 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
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
- Experience developing using AI tooling such as Claude Code, Kiro, or Cursor