Forward-Deployed AI Delivery Lead for Enterprise

Amazon Web Services (AWS)

Arlington (VA)

On-site

USD 185,000 - 250,000

Full time

4 days ago
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Job summary

Amazon Web Services, Inc. seeks a Forward Deployed Engineering Manager to lead a pod of 5–15 engineers embedded with strategic enterprise customers.

You own delivery, engineering quality, and team development across your scope, ensuring production AI systems meet customer expectations. You will define technical direction, drive production readiness, hire and coach engineers, and accelerate customer adoption.

Qualifications

  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • 7+ years of non-internship professional software development experience
  • 3+ years of engineering team management experience
  • 3+ years of experience working in an Agile, startup, or rapidly scaling environment
  • Experience communicating technical concepts to both technical and non-technical audiences, including senior leadership
  • Experience with agentic and spec-driven development (developing AI agents a plus)
  • Experience building or deploying AI/ML applications in production environments at scale

Responsibilities

  • Lead FDE pod delivery across one or more customer engagements.
  • Guide technical direction and review architecture decisions.
  • Own production excellence for the team with operational standards and readiness criteria.
  • Build and develop the team through hiring, coaching, and performance management.
  • Accelerate customer adoption by codifying learnings into reusable patterns and broader practice improvements.

Skills

Technical leadership
Communication
AI/ML in production
Strategic thinking

Education

Bachelor's degree in Computer Science/Engineering/Mathematics or related field

Tools

React
TypeScript
Python
Go

Job description

Amazon Web Services, Inc. seeks a Forward Deployed Engineering Manager to lead a pod of 5–15 engineers embedded with strategic enterprise customers.

You own delivery, engineering quality, and team development across your scope, ensuring production AI systems meet customer expectations. You will define technical direction, drive production readiness, hire and coach engineers, and accelerate customer adoption.

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