Senior AI Production Architect - Enterprise Deployments

Amazon Web Services (AWS); Arlington (VA); On-site; USD 168,000 - 227,000; Full time

Job summary

Amazon Web Services, Inc. in Arlington, VA, seeks a Forward Deployed Engineer to embed with a strategic enterprise customer to design, build, deploy, and run AI-powered production systems.

You will write production-grade software, own outcomes end-to-end from prototype to enterprise-scale deployment, and craft reusable architectures that scale the FDE practice.

The role combines technical rigor with ownership, guiding multi-service decisions and driving measurable business outcomes for customers.

Qualifications

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

Responsibilities

• Lead technical delivery across customer engagements.
• Own the technical strategy and execution for complex, multi-workstream customer AI programs.
• Make architecture decisions that span multiple services and organizational boundaries.
• Align technical approach with the customer's long-term technology strategy.
• Requires 30–50% travel.
• Architect and build production AI systems at scale.
• Design the foundational architectures — multi-agent orchestration, enterprise retrieval systems, decision intelligence platforms.
• Drive clarity where the business problem or technology approach is not fully defined.
• Build production systems that handle enterprise-scale traffic and reliability requirements.
• Own production excellence across workstreams.
• Define operational standards, evaluation frameworks, and production readiness criteria.
• Establish mechanisms (testing strategies, observability standards, incident response playbooks).
• Drive operational improvements that raise the bar for the team.
• Scale the team's effectiveness.
• Define engineering patterns, contribute to interview and hiring, mentor junior FDEs.
• Coach others on system design, customer engagement, and production operations.
• Drive engineering excellence standards within your scope.
• Accelerate customer transformation.
• Identify systemic opportunities to expand AI adoption across the customer organization.
• Create accelerators and reusable platforms that reduce time-to-value from months to weeks.
• Feed learnings back into AWS services and the FDE practice.

Skills

Software development

Programming languages

System design/architecture

Mentoring/tech lead

Technical communication

Agentic AI development

AI tooling

Education

Bachelor's degree in computer science

Tools

React

TypeScript

Python

Go

Job description

Amazon Web Services, Inc. in Arlington, VA, seeks a Forward Deployed Engineer to embed with a strategic enterprise customer to design, build, deploy, and run AI-powered production systems.

You will write production-grade software, own outcomes end-to-end from prototype to enterprise-scale deployment, and craft reusable architectures that scale the FDE practice.

The role combines technical rigor with ownership, guiding multi-service decisions and driving measurable business outcomes for customers.