Embedded AI Production Engineer for Enterprise Teams

Amazon

Denver (CO)

On-site

USD 144,000 - 194,000

Full time

5 days ago
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Job summary

Amazon's Forward Deployed Engineering team seeks a motivated FDE II to embed with a strategic enterprise customer, designing, building, deploying, and operating AI-powered production systems alongside the customer's engineers. This role emphasizes production-grade software, end-to-end AI workstreams, and mentoring peers to deliver measurable customer outcomes.

Travel 30-50% and TS/SCI with Polygraph are required.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
  • 2+ years in Agile, startup, or rapidly scaling environments.
  • Ability to communicate technical concepts to diverse 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.
  • Current TS/SCI clearance with Polygraph.

Responsibilities

  • Embed within customer engineering teams to understand business value.
  • Design, develop, and run production AI applications and workflows.
  • Own the full software lifecycle, from scoping to operations, including monitoring.
  • Mentor and train teammates on best practices.
  • Assist in accelerating customer adoption of AI solutions.

Skills

Software development
Agile methodologies
Communication
Agentic AI development
AI tools: eval frameworks
Agent tooling
RAG pipelines
Prompt engineering
Security clearance TS/SCI with Polygr​
React
TypeScript
Python
Go
AWS
Production systems

Education

Bachelor's degree in Computer Science/Engineering/Math

Job description

Amazon's Forward Deployed Engineering team seeks a motivated FDE II to embed with a strategic enterprise customer, designing, building, deploying, and operating AI-powered production systems alongside the customer's engineers. This role emphasizes production-grade software, end-to-end AI workstreams, and mentoring peers to deliver measurable customer outcomes.

Travel 30-50% and TS/SCI with Polygraph are required.

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