Forward-Deployed AI Delivery Manager

Amazon Web Services (AWS)

Herndon (VA)

On-site

USD 185,000 - 250,000

Full time

12 hours ago
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Job summary

Amazon Web Services (AWS) seeks an experienced Forward Deployed Engineering Manager to lead a pod of FDEs embedded with strategic enterprise customers, delivering production AI systems and coaching engineers toward career growth.

You will own pod-level outcomes, define what great delivery looks like, review architecture decisions, and elevate engineering standards across multiple concurrent customer engagements.

Qualifications

  • 3+ years of engineering team management experience
  • 7+ years of Software Engineer or related experience
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • 3+ years of Agile, startup, or rapidly scaling environment
  • Experience communicating technical concepts to senior leadership and across technical audiences

Responsibilities

  • Own delivery across one or more customer engagements; staff the team and define execution cadences.
  • Provide technical oversight for customer AI programs and review architecture decisions.
  • Ensure operational standards, evaluation frameworks, and production readiness criteria for AI systems your team builds.
  • Hire, develop, and retain FDE talent; coach junior FDEs toward independence and career growth.
  • Identify opportunities to expand AI adoption within customer engagements and codify learnings into reusable patterns.

Skills

Engineering management
Leadership
Communication
AI/ML knowledge

Education

Bachelor's degree in CS/Engineering/Math

Tools

React
TypeScript
Python
Go

Job description

Amazon Web Services (AWS) seeks an experienced Forward Deployed Engineering Manager to lead a pod of FDEs embedded with strategic enterprise customers, delivering production AI systems and coaching engineers toward career growth.

You will own pod-level outcomes, define what great delivery looks like, review architecture decisions, and elevate engineering standards across multiple concurrent customer engagements.

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