> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

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

Canonical URL: https://nextmove.md/fde/jobs/91438c07da633c6c

Amazon (incl AWS) posts a mid-level FDE role to build what the customer runs in Denver, CO and 5 more, at $143,700–$213,800 base, below the senior FDE median of $190,000 across 1,866 postings with pay. An autonomous Forward Deployed Engineer II embeds with U.S. government customer engineering teams to build, deploy, and operate production AI and agentic systems end-to-end. Read from the employer’s posting on November 6, 2026.

- [Amazon (incl AWS)](https://nextmove.md/fde/companies/amazon-incl-aws)

Published November 6, 2026 · Updated November 6, 2026

**$143,700–$213,800** *annualized* Denver, CO · Jessup, MD · +4 more Mid-level Yesterday

An autonomous Forward Deployed Engineer II embeds with U.S. government customer engineering teams to build, deploy, and operate production AI and agentic systems end-to-end.

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- [View posting at Amazon (incl AWS)](https://www.amazon.jobs/en/jobs/10597417/forward-deployed-engineer-fde-aws-forward-deployed-engineering-us-government)

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## At a glance

### Posted base pay

$144K–$214K Below the median

This job $144K to $214K. Typical senior FDE pay, the middle 50% of 1,866 postings: $160K to $220K, median $190K.

[Compare pay across all Amazon (incl AWS) postings](https://nextmove.md/fde/salary/amazon-incl-aws)

### The work

Builds what the customer runs

Balance

1. Mostly building
2. Mixed
3. Mostly pre-sales or support

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

Travel **Up to 50%**

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **3+ years** non-internship professional software development
- **2+ years** experience working in an Agile, startup, or rapidly scaling environment

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 2+ years. How many do you have?

The job is in Denver, CO · Jessup, MD · +4 more. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

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New York, NY On-site 1mo ago

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- [Other jobs at Amazon (incl AWS) (79)](https://nextmove.md/fde/companies/amazon-incl-aws)

## The job description from Amazon (incl AWS)

Posted by Amazon (incl AWS) on Nov 5, 2026

Application deadline: Nov 10, 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 II (FDE II) embeds directly inside a strategic enterprise customer to independently design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. FDE IIs write production-grade software and own delivery of complete AI workstreams end-to-end — from requirements gathering through production deployment — combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business outcomes.

FDE IIs are autonomous contributors. They deliver working features spanning the full software lifecycle. They design cohesive implementations for ambiguous problems, making design trade-offs with appropriate guidance. They take on projects where the business problem is understood but implementations are not fully fleshed out, balancing constraints and limiting short-term workarounds. They coach others on producing high-quality code and train new team members.

Key job responsibilities
• Embed within customer engineering teams. Work with customers, stakeholders, and peers to understand the business and customer value of the systems you build. Understand the customer's business processes, technical architecture, and operational constraints. Translate customer requirements into technical designs for AI-enabled production systems within your workstream. Requires 30 – 50% travel.
• Build production AI applications. Design and develop production-grade software powering AI and agentic workflows — retrieval pipelines, workflow automation, API orchestration layers, data integration. Solve difficult problems with visible risks or roadblocks, bringing clarity and identifying simple designs for solutions. Integrate foundation models, customer data sources, and existing applications into cohesive AI experiences. Optimize for latency, reliability, and cost.
• Own production for your workstream. Be a significant contributor to the full software development lifecycle including scoping, design, code, testing, deployment, operations, and maintenance. Troubleshoot production incidents across AI models, distributed systems, and application services. Ensure root causes of operational issues are identified and resolved. Implement monitoring, evaluations, guardrails, and CI/CD that keep AI systems healthy. Don't settle for the status quo — routinely identify and execute on opportunities to improve operations.
• Mentor and uplift. Actively mentors and trains new team members on how systems are constructed, operated, and fit into the bigger picture. Coach others on producing high-quality code through mechanisms such as code review. Be active in the code review process, providing meaningful feedback to others.
• Accelerate customer adoption. Identify opportunities to expand AI adoption within your customer engagement. Codify reusable patterns and accelerators that benefit future customer deployments and feed back into AWS services. Make enhancements that improve your team's software and processes.

A day in the life
An FDE II spends the day building inside the customer's environment: pairing with their engineers on production AI features, translating requirements into designs for their workstream, troubleshooting production issues, and reviewing code. They work autonomously on scoped problems, bringing clarity to ambiguous implementations with appropriate guidance from senior FDEs.

About the team
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.

10047

### Basic qualifications

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Current, active TS/SCI US Government Security Clearance
- 3+ years of non-internship professional software development experience
- 2+ years of experience working in an Agile, startup, or rapidly scaling environment
- Experience communicating technical concepts to both technical and non-technical audiences
- Experience with agentic and spec-driven development (developing AI agents a plus)
- Experience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering

### Preferred qualifications

Experience working with AWS Services
- Experience working in a customer-facing environment
- Experience building or deploying AI/ML applications in production environments
- Background as a founder, engineering lead, or startup builder with high ownership and urgency
- Prior experience with React, TypeScript, Python, and/or Go
- Experience interfacing with customers or leading technical projects with external stakeholders
- Experience working with teams that build and scale end-to-end production systems

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 - 143,700.00 - 194,400.00 USD annually
USA, MD, Jessup - 143,700.00 - 194,400.00 USD annually
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, VA, Herndon - 143,700.00 - 194,400.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

[View posting at Amazon (incl AWS)](https://www.amazon.jobs/en/jobs/10597417/forward-deployed-engineer-fde-aws-forward-deployed-engineering-us-government)

## About Amazon (incl AWS)

Online retail, third-party marketplace, Prime/ads/devices, and AWS — the world's largest cloud platform powering startups and enterprises.

Public · 5000+ people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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Hiring at Amazon (incl AWS) and want this page changed or removed? Email info@nextmove.md and we take it down.

## Conditions

- **Location**: Denver, CO · Jessup, MD · New York, NY · Arlington, VA · Herndon, VA · Seattle, WA

- **Employment type**: Full-time

- **Travel**: Up to 50%

Employer postings · [How we read postings](https://nextmove.md/fde/method)
