Drimva

Amazon

Forward Deployed Engineer, AWS Forward Deployed Engineering

$144K–$214K

Boston, MA +3 · Full-time · Posted Oct 12, 2026

Location
Boston, MA
Seattle, WA
Arlington, VA
New York, NY
Experience
3+ years of non-internship professional software development; 2+ years in an Agile, startup, or rapidly scaling environment.
Education
Degree in Computer Science or related field, or equivalent professional experience.
Visa sponsorship
"Visa":"

About the job

Embeds with enterprise customers to design, build, deploy, and operate AI-powered production systems, delivering end-to-end workstreams and supporting customer adoption.

What you'll do

  • Translate customer needs into technical designs and build production AI applications, including agentic workflows and integrations.
  • Own the software lifecycle for a workstream, including deployment, operations, incident troubleshooting, monitoring, and maintenance.
  • Mentor teammates, identify opportunities to expand customer AI adoption, and develop reusable patterns and accelerators.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years working in an Agile, startup, or rapidly scaling environment.
  • Experience communicating technical concepts to technical and non-technical audiences; experience with agentic and spec-driven development and AI tools such as eval frameworks, agent tooling, RAG pipelines, and prompt engineering.
  • Degree in Computer Science or related field, or equivalent professional experience.

Nice to have

  • Experience building or deploying AI/ML applications in production; experience in customer production environments.
  • Prior experience with React, TypeScript, Python, and/or Go; experience with AWS services.

Pay

USD 143,700.00 - 194,400.00 annually (base salary); USD 158,100.00 - 213,800.00 annually (base salary)

Tools

React, TypeScript, Python, Go, AWS

AI focus

Build and operate production AI applications and agentic workflows, using foundation models, customer data, RAG pipelines, evaluation frameworks, agent tooling, and prompt engineering.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)