Senior AI Production Engineer — Forward Deployed

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

Job summary

Amazon Web Services, Inc. is seeking a Forward Deployed Engineer to embed with enterprise customers, designing and delivering production AI systems end-to-end. You will own architecture, implement AI workflows, and ensure reliability and security across multi-component pipelines.

In this role you will mentor engineers, drive reusable patterns, and expand AI adoption across customer workflows while collaborating with AWS teams and stakeholders.

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years of programming in at least one language.
• 5+ years of leading design or architecture of systems.
• Experience mentoring, technical leadership, or team leadership.
• Experience communicating with senior stakeholders; production AI experience is a plus.

Responsibilities

• Embed within customer engineering teams to translate business problems into scalable AI production systems.
• Build production AI applications with orchestration, pipelines, and AI model integration.
• Own production systems from design to rollout, with monitoring and reliability tooling.
• Accelerate customer transformation by codifying reusable patterns and reference architectures.
• Mentor engineers and contribute to AWS AI engineering best practices.

Skills

Software development

Architecture design

Mentoring / tech lead

Agentic AI development

Communication with stakeholders

AI tooling & pipelines

Education

Bachelor's degree in computer science or equivalent

Tools

AWS services

React

TypeScript

Python

Go

Job description

Amazon Web Services, Inc. is seeking a Forward Deployed Engineer to embed with enterprise customers, designing and delivering production AI systems end-to-end. You will own architecture, implement AI workflows, and ensure reliability and security across multi-component pipelines.

In this role you will mentor engineers, drive reusable patterns, and expand AI adoption across customer workflows while collaborating with AWS teams and stakeholders.