Drimva

Amazon

Senior Software Development Engineer, AI Acceleration, Amazon Games

$168K–$227K

Seattle, WA · Senior · Full-time · Posted Nov 17, 2025

Experience
5+ years of non-internship professional software development; 5+ years programming; 5+ years leading design or architecture. Preferred: 5+ years full software development life cycle; 4+ years Games Industry experience.
Education
Bachelor's degree in computer science or equivalent; preferred master's degree in computer science or equivalent.

About the job

Build and operate AI-powered productivity solutions and agentic workflows for Amazon Games teams, taking them from discovery through production adoption and turning successful solutions into reusable platform capabilities.

What you'll do

  • Embed with internal teams to scope, build, deploy, and support AI productivity solutions in their workflows.
  • Design and operate secure, scalable, cost-efficient AI systems and API infrastructure using native AWS.
  • Convert engagement learnings into reusable platform capabilities, agents, SDKs, and patterns; partner with domain experts on cross-functional agents.

What they ask for

  • Bachelor's degree in computer science or equivalent.
  • 5+ years of non-internship professional software development experience and 5+ years programming with at least one software programming language.
  • 5+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
  • Experience as a mentor, tech lead, or engineering team leader; experience with AWS or cloud technologies.

Nice to have

  • 5+ years of full software development life cycle experience.
  • 4+ years of Games Industry experience; master's degree in computer science or equivalent; or experience building large-scale machine learning and AI solutions at Internet scale.

Pay

168,100.00 - 227,400.00 USD annually (base salary)

Tools

AWS

AI focus

Build and deploy AI-powered productivity solutions, agents, and agentic workflows using proprietary and third-party models; create reusable AI tooling and ensure responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)