AI Production Engineer — Forward Deployed (TS/SCI)

Amazon Inc.; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Job summary

Amazon Inc. is looking for a Forward Deployed Engineer II in Seattle to embed with enterprise customers and design, build, deploy, and run AI-powered production systems end-to-end.

You will write production-grade software across the full lifecycle, optimize for latency and cost, and mentor teammates while expanding AI adoption. The role requires a US TS/SCI clearance and 30–50% travel.

Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
• Current TS/SCI US Government Security Clearance.
• 3+ years of non-internship professional software development experience.
• 2+ years in Agile, startup, or rapidly scaling environments.
• Experience communicating technical concepts to both technical and non-technical audiences.
• Experience with agentic and spec-driven development (AI agents a plus).
• Experience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering.

Responsibilities

• Embed within customer engineering teams to translate requirements into technical designs for AI-enabled production systems; travel 30–50%.
• Build production AI applications powering AI and agentic workflows; optimize for latency, reliability and cost.
• Own production for your workstream across the full software development lifecycle and operations.
• Mentor and uplift teammates, and accelerate customer adoption of AI solutions.

Skills

Clear communication

Agile environment

AI tools knowledge

Agentic development

Education

Bachelor's degree in CS/Engineering/Math

Tools

React

TypeScript

Python

Go

Job description

Amazon Inc. is looking for a Forward Deployed Engineer II in Seattle to embed with enterprise customers and design, build, deploy, and run AI-powered production systems end-to-end.

You will write production-grade software across the full lifecycle, optimize for latency and cost, and mentor teammates while expanding AI adoption. The role requires a US TS/SCI clearance and 30–50% travel.