Six Figure Work

Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government

AWS

Company websiteaws.org (AWS, opens in new tab)

Base salary $168,100  to $227,400

Employer-published annual base salary, USD. Advertised base range in Arlington, VA +4 more

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  • LocationArlington, VA +4 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (4 h ago) · observed since
All 5 locations
  • US, VA, Arlington
  • US, MD, Jessup
  • US, WA, Seattle
  • US, CO, Denver
  • US, VA, Herndon

About this job

Application deadline: Nov 11, 2026

This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility or higher.

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. This position requires that the candidate selected be a US Citizen and currently possess and maintain an active US Government Top Secret clearance with SCI eligibility (or higher).

Key job 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 up to 25% travel.
  • Architect and build production AI systems at scale: multi-agent orchestration, enterprise retrieval systems, and decision intelligence platforms for the most complex engagements. Drive clarity where neither the business problem nor the technology approach is 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 for AI systems. Establish mechanisms (testing strategies, observability standards, incident-response playbooks) that keep AI systems healthy.
  • Scale the team's effectiveness. Define engineering patterns, contribute to the interview and hiring process, and mentor junior FDEs into independent contributors.
  • Accelerate customer transformation. Identify systemic opportunities to expand AI adoption, create reusable accelerators that cut time-to-value from months to weeks, and feed learnings back into AWS services and the FDE practice.

A day in the life

A Senior FDE spends the day leading technical delivery inside the customer's environment: setting the architecture direction across workstreams, building alongside customer engineers on the hardest production AI problems, reviewing designs and code, and mentoring FDEs into independent contributors.

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.

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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
  • Active US Government Top Secret clearance with SCI eligibility (or higher)
  • 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

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
  • Current, active TS/SCI US Government Security Clearance
  • Experience building complex software systems that have been successfully delivered to customers
  • Experience with AWS services
  • Experience building or deploying AI/ML applications at enterprise production scale
  • 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, CO, Denver - 168,100.00 - 227,400.00 USD annually

USA, MD, Jessup - 168,100.00 - 227,400.00 USD annually

USA, VA, Arlington - 168,100.00 - 227,400.00 USD annually

USA, VA, Herndon - 168,100.00 - 227,400.00 USD annually

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

Source: AWS · View original posting (opens in new tab)

Pay in context

This role's base floor ($168,100) is above 58% of the 272 Data & ML roles in Virginia listed on this site; 2 others list the same floor. Their median floor is $150,000; the middle half runs from $119,400 to $187,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live AWS roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live AWS roles with the nearest advertised base floor
RolePublished base
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government (this listing)$168,100 - $227,400
Senior Software Development Engineer, AWS Compliance & Security Assurance$168,100 - $227,400
Senior Software Engineer, Security Services and Observability, Amazon Web Services$168,100 - $227,400
Software Development Engineer, Amazon Java Runtime$168,100 - $227,400
Sr. Software Development Engineer, AWS Transform$168,100 - $227,400
Sr. Software Development Engineer, AWS Commerce Platform$168,100 - $227,400
Senior Software Development Engineer, EC2 Trainium AI Infra$168,100 - $227,400

Same $100K to $400K scale as every card. All AWS roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-10-27
Where this pay comes from

Location as the employer wrote it: Multiple locations (5)

USA, CO, Denver - 168,100.00 - 227,400.00 USD annually

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.