Senior AI Production Engineer (Forward Deployed)

Amazon Web Services (AWS)

New York (NY)

On-site

USD 185,000 - 250,000

Full time

37 hours ago
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Job summary

Amazon Web Services, Inc. is seeking a Forward Deployed Engineer to embed with strategic enterprise customers, designing and deploying AI-powered production systems end-to-end. You will own architectures, write production-grade software, and drive measurable business outcomes with reusable patterns that scale the FDE practice.

You will lead multi-workstream engagements, define operational standards, and coach junior engineers while traveling 30–50% to customer sites and AWS offices.

Qualifications

  • 5+ years of non-internship professional software development experience.
  • Experience mentoring, leading design or architecture of systems, and communicating with senior stakeholders.
  • Experience delivering AI-enabled production systems and AI agent frameworks.

Responsibilities

  • Lead technical delivery across customer engagements, making cross-service architecture decisions.
  • Architect and build production AI systems at scale with enterprise readiness.
  • Own production excellence across workstreams with testing and observability standards.
  • Scale the team's effectiveness through patterns, hiring, and mentorship.
  • Accelerate customer transformation by creating reusable accelerators and platforms.

Skills

AI tools experience
Production software
Mentorship
Customer-facing projects
Agent architectures

Education

Bachelor's degree in computer science

Tools

React
TypeScript
Python
Go
AWS Services

Job description

Amazon Web Services, Inc. is seeking a Forward Deployed Engineer to embed with strategic enterprise customers, designing and deploying AI-powered production systems end-to-end. You will own architectures, write production-grade software, and drive measurable business outcomes with reusable patterns that scale the FDE practice.

You will lead multi-workstream engagements, define operational standards, and coach junior engineers while traveling 30–50% to customer sites and AWS offices.

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