Lead Platform Architect – Gen AI at Scale

Amazon Jobs

Seattle (WA)

On-site

USD 200,000 - 271,000

Full time

4 days ago
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Benefits offered by this job

RSUs
Comprehensive health insurance
Paid time off

Job summary

Amazon seeks a technically deep Principal Engineer to drive architecture, engineering strategy, and technical standards for AgentCore, a modular platform for deploying and operating autonomous AI agents at scale with serverless runtime, memory, identity, gateway, and observability components.

The role is hands-on and leadership‑driven, tackling the hardest Gen AI challenges, mentoring engineers, and setting the technical direction to accelerate customers' agents to production in a fast‑moving,

Qualifications

  • 12+ years of non‑internship professional software development experience
  • 8+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 12+ years of programming with at least one software programming language experience
  • Bachelor's degree in computer science or equivalent
  • 10+ years of highly scalable systems experience
  • 15+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Responsibilities

  • Build a new AWS service that is trend setting in the Gen AI field, scalable, efficient and fault tolerant
  • Mentor engineers and provide leadership on complex technical issues
  • Set technical direction for a platform critical to accelerating customers' agents to production
  • Deliver strategic technical projects and influence product and business decisions

Skills

Mentor
Tech lead
Design patterns
Scalability

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon seeks a technically deep Principal Engineer to drive architecture, engineering strategy, and technical standards for AgentCore, a modular platform for deploying and operating autonomous AI agents at scale with serverless runtime, memory, identity, gateway, and observability components.

The role is hands-on and leadership‑driven, tackling the hardest Gen AI challenges, mentoring engineers, and setting the technical direction to accelerate customers' agents to production in a fast‑moving,

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