Senior AI Systems Architect & Strategy Leader

Amazon

Denver (CO)

On-site

USD 200,000 - 271,000

Full time

25 hours ago
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Job summary

Amazon seeks a Principal Forward Deployed Engineer who embeds with strategic enterprise customers to define the technical strategy and engineering standards for AI-powered production systems at scale.

You will write production-grade software, shape architectures across multi-workstream engagements, and create reusable patterns that raise the bar for the FDE practice, traveling up to 25% as needed.

Qualifications

  • Current, active TS/SCI US Government Security Clearance.
  • 10+ years of non-internship professional software development experience.
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
  • 8+ years of experience leading the design and architecture of large-scale production systems.
  • Experience building production AI or ML platforms used across multiple products or customers.
  • Experience with enterprise-scale agentic workflows, multi-agent orchestration, or AI system governance.

Responsibilities

  • Define technical strategy across engagements.
  • Set the technical direction for the most complex, highest-stakes customer AI programs; make architecture decisions; travel up to 25%.
  • Build production AI systems and reference architectures.
  • Own production excellence at scale across the FDE practice.
  • Accelerate customer transformation at the portfolio level.
  • Raise the bar for the practice and guide senior engineers and the broader team.

Skills

Security Clearance
Software development
AI/ML platforms
Multi-agent orchestration
Architectural leadership

Education

Bachelor's in Computer Science or related field
Master's degree in CS or equivalent

Job description

Amazon seeks a Principal Forward Deployed Engineer who embeds with strategic enterprise customers to define the technical strategy and engineering standards for AI-powered production systems at scale.

You will write production-grade software, shape architectures across multi-workstream engagements, and create reusable patterns that raise the bar for the FDE practice, traveling up to 25% as needed.

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