Senior Forward Deployed Engineer, AWS Forward Deployed Engineering

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

Description

A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. FDEs write production-grade software and own outcomes end-to-end, from prototype through enterprise-scale deployment combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business outcomes. They create reusable architectures, patterns, and engineering mechanisms that scale the entire FDE practice.

Key job responsibilities

• Embed within customer engineering teams. Understand the customer's business processes, technical architecture, and operational constraints. Translate ambiguous business problems into scalable AI-enabled production systems. Requires 30 – 50% travel.


• Build production AI applications. Design and develop production-grade software powering AI and agentic workflows — orchestration layers for multi-agent systems, retrieval pipelines, workflow automation, decision intelligence. Integrate foundation models, customer data sources, APIs, and existing applications into cohesive AI experiences. Optimize for latency, reliability, observability, cost, and security.


• Own production. Take systems from design through production rollout and operationalization. Troubleshoot production incidents across AI models, distributed systems, data pipelines, and application services. Put in place monitoring, evaluations, guardrails, and the operational mechanisms (testing, CI/CD, rollback, resiliency) that keep AI systems healthy at scale.


• Accelerate customer transformation. Identify opportunities to expand AI adoption across customer workflows. Codify reusable patterns, accelerators, and reference architectures that benefit future customers and feed back into AWS.


• Raise the bar. Mentor engineers. Contribute to AWS engineering best practices for AI and forward deployment. Push reusable components and learnings back into AWS products and services.

About The Team

ABOUT AWS:

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic 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

Preferred Qualifications

• Bachelor's degree in computer science or equivalent


• Experience building or deploying AI/ML applications at enterprise production scale


• Background as a founder, engineering lead, or startup builder with high ownership and urgency


• Experience architecting and delivering complex, multi-component systems in customer production environments


• Experience with AWS services


• Experience with React, TypeScript, Python, and/or Go


• Experience leading customer-facing technical projects or managing external stakeholder relationships


• 3+ years of experience working in an Agile, startup, or rapidly scaling environment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually

Company - Amazon Web Services, Inc.

Job ID: A10576492