Senior AI Production Architect & Technical Leader

Amazon; Denver (CO); On-site; USD 168,000 - 227,000; Full time

Job summary

Amazon AWS is seeking an Architect to own the technical strategy and execution for complex customer AI programs. You will design foundational architectures for multi-agent orchestration, enterprise retrieval, and decision intelligence platforms.

You will define production readiness criteria, establish observability standards, and mentor junior engineers to scale the team and accelerate AI adoption across customer engagements.

Qualifications

• 5+ years of professional software development experience.
• 5+ years of programming in at least one language.
• 5+ years of leading design or architecture of new and existing systems.
• Experience as a mentor, tech lead or leading an engineering team.
• Current, active US Government Security Clearance of TS/SCI with Polygraph.
• Experience communicating technical concepts to both technical and non-technical audiences, including senior stakeholders.
• Experience leading agentic and spec-driven development at production scale (AI agents a plus).
• Experience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering.

Responsibilities

• Own the technical strategy and execution for complex, multi-workstream customer AI programs. Make architecture decisions that span multiple services and organizational boundaries.
• Architect and build production AI systems at scale.
• Own production excellence across workstreams.
• Scale the team's effectiveness by defining patterns, mentoring engineers, and hiring.

Skills

Software development

Programming languages

Architecture leadership

Mentorship

Stakeholder communication

Production-scale AI

AI tooling

Education

CS degree

Tools

AWS Services

React

TypeScript

Python

Go

Job description

Amazon AWS is seeking an Architect to own the technical strategy and execution for complex customer AI programs. You will design foundational architectures for multi-agent orchestration, enterprise retrieval, and decision intelligence platforms.

You will define production readiness criteria, establish observability standards, and mentor junior engineers to scale the team and accelerate AI adoption across customer engagements.