About The Position

Are you passionate about leveraging GenAI to simplify the builder experience and accelerate innovation at Amazon scale? We are standing up a new effort focused on managing Amazon's agentic conversations at scale. Every day, builders generate millions of sessions across AI coding tools - the complete record of what they asked, what agents did, and what tools and resources they accessed. This is a rare opportunity to shape how thousands of engineers work with AI. As an SDE II, you will build the infrastructure layer that connects generative AI to the daily work of Amazon builders - from the APIs agents call, to the platforms teams use to ship new AI capabilities company-wide, to the data pipelines that turn raw agent sessions into the signal that makes every tool better. If you want your code to multiply the productivity of thousands of engineers, this is the role.

Requirements

  • 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 software development engineer or related occupational 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
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language

Nice To Haves

  • 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

Responsibilities

  • Design and build scalable platform services for distributing AI skills, agents, and tool integrations to builders across Amazon
  • Develop APIs and infrastructure that enable autonomous agents to securely access internal resources and systems
  • Build benchmarking and prompt trace analysis systems that measure agent quality, identify regressions, and drive continuous improvement of AI capabilities
  • Partner with teams across Amazon and AWS to onboard new AI capabilities and drive adoption across the builder ecosystem
  • Deliver iterative improvements to production systems while driving long-term platform evolution

Benefits

  • sign-on payments
  • restricted stock units (RSUs)
  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
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