Senior AI FDE - Enterprise Production Architect

Amazon Inc.; New York (NY); On-site; USD 185,000 - 250,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Web Services (AWS) seeks a Forward Deployed Engineer (FDE) to embed with an enterprise customer, design, build, deploy, and operate AI-powered production systems alongside the customer team.

As an FDE, you own outcomes end-to-end, driving architecture decisions, reusable patterns, and scalable solutions across services while maintaining strong customer partnerships and a focus on measurable business value.

Qualifications

• 5+ years of non-internship software development experience.
• 5+ years of programming with 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.
• Experience communicating technical concepts to technical and non-technical audiences, including senior stakeholders.
• Experience leading production-scale AI agentic development and RAG pipelines.

Responsibilities

• Lead technical delivery across customer engagements.
• Own the technical strategy and execution for complex AI programs.
• Architect and build production AI systems at scale.
• Define operational standards for AI systems and production readiness.
• Scale the team's effectiveness through patterns, interviewing, and mentorship.
• Accelerate customer transformation with reusable platforms and accelerators.

Skills

Software development

Programming

Architecture leadership

Mentorship

Stakeholder communication

AI tooling

Agile/startup experience

System design

Education

Bachelor's degree in CS or équivalent

Tools

React

TypeScript

Python

Go

AWS services

Job description

Amazon Web Services (AWS) seeks a Forward Deployed Engineer (FDE) to embed with an enterprise customer, design, build, deploy, and operate AI-powered production systems alongside the customer team.

As an FDE, you own outcomes end-to-end, driving architecture decisions, reusable patterns, and scalable solutions across services while maintaining strong customer partnerships and a focus on measurable business value.