Senior Software Engineer, Amazon Software Builder Experience (asbx) - Genai Tools

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Senior Software Engineer role focused on building the platform and infrastructure for AI agents and skills within Amazon's internal developer ecosystem. The role involves owning the technical direction, architecture, and roadmap for services that distribute AI capabilities, including authentication, context optimization, and quality systems. It emphasizes enabling autonomous agents to securely access internal resources and improving agent performance at scale.

What you'd actually do

  1. Own the architecture and technical roadmap for platform services that distribute AI capabilities — skills, agents, and tool integrations — to builders across Amazon
  2. Design authentication and authorization frameworks that enable autonomous agents to securely access internal resources while preserving end-to-end caller identity across multiple auth mechanisms
  3. Architect benchmarking and agent trace analysis systems that measure quality at scale, detect model regressions, and automatically route findings into capability improvements
  4. Drive context optimization strategy — solving how agents efficiently discover and invoke tools without exhausting token budgets, including progressive disclosure, result offloading, and intelligent capability selection
  5. Lead cross-team technical initiatives with partner teams across Amazon and AWS, unblocking adoption and driving alignment on standards for the agentic ecosystem

Skills

Required

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team

Nice to have

  • 5+ 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

What the JD emphasized

  • own the technical direction of the infrastructure layer
  • make architectural decisions with company-wide impact
  • define how AI agents operate at Amazon scale

Other signals

  • building platforms for AI agents
  • enabling autonomous agents to tap into internal ecosystem
  • shaping how engineers work with AI
  • architectural decisions with company-wide impact