Principal Forward Deployed Engineer, AWS Forward Deployed Engineering

Amazon is hiring a Principal Forward Deployed Engineer, AWS Forward Deployed Engineering in Arlington, United States. It pays $200k-$271k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this forward deployed engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
Pay on this posting starts 11% higher than the typical forward deployed engineer posting on Level.
The posting mentions AI agents among its tools and skills.
Amazon has 21,000+ other open roles on Level.
Posted in the last few days.

AI in this role

ai-agents

A Principal Forward Deployed Engineer (Principal FDE) embeds across multiple strategic enterprise customers to define the technical strategy and engineering standards for AI-powered production systems at scale. Principal FDEs write production-grade software, set the technical direction for complex multi-workstream engagements, and create the reusable architectures, patterns, and engineering mechanisms that scale the entire FDE practice — combining the technical depth of an AWS Principal SDE with the strategic influence required to deliver transformational customer business outcomes.

Principal FDEs independently lead software delivery across an organization. They drive clarity where neither the business problem nor technology strategy is well defined. They solve problems with non-technical solutions such as process improvement, culture changes, or staffing and training. They set the standard for engineering excellence, handle escalations, and drive closure with peers, Directors, and stakeholders. They are force multipliers whose impact extends well beyond any single engagement.

This position requires that the candidate selected must be a US Citizen and currently possess and maintain an active Top Secret security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.

Key job responsibilities
Define technical strategy across engagements.
- Set the technical direction for the most complex, highest-stakes customer AI programs. Be a key influencer for strategic decisions, bringing technology and industry context to business decisions. Make architecture decisions that span multiple workstreams, services, and organizational boundaries. Requires up to 25% travel.

Build production AI systems and reference architectures.
- Design and build the foundational architectures — multi-agent orchestration frameworks, enterprise-grade retrieval systems, decision intelligence platforms — that become the template for future engagements. Tackle intrinsically hard problems, acquiring expertise as needed. Solve problems that are significantly complex not only because of technical complexity. Remain hands-on, focusing time on code and code reviews that have the most impact.

Own production excellence at scale.
- Define the operational standards, evaluation frameworks, and production readiness criteria for AI systems across the FDE practice. Establish mechanisms that ensure AI systems remain healthy across all active engagements.

Accelerate customer transformation at the portfolio level.
- Identify systemic opportunities to expand AI adoption across multiple customer organizations. Create accelerators, reference architectures, and reusable platforms that reduce time-to-value. Influence AWS product roadmaps based on patterns observed across customers.

Raise the bar for the practice.
- Define engineering excellence standards for the FDE organization. Guide the career growth of the most senior technical talent. Participate in performance evaluations and advocate for the careers of others. Help the Principal Engineering community grow through internal reviews, interviews, and promotion assessments. Represent the FDE practice to AWS VP-level leadership and customer C-suite executives. Drive hiring bar and calibration for the FDE job family.

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

- 10+ years of non-internship professional software development experience
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- 8+ years of experience leading the design and architecture of large-scale production systems in customer-facing or enterprise environments
- Experience building production AI or ML platforms used across multiple products or customers
- Experience with enterprise-scale agentic workflows, multi-agent orchestration, or AI system governance
- Current, active US Government Security Clearance of Top Secret or above

Preferred qualifications

- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience in executive level engagement with SVP/VP/C-Suite
- Master's degree or above in computer science or equivalent
- Experience creating reusable architectures or platforms adopted across an organization
- Experience defining technical strategy and engineering standards as a principal engineer or tech lead influencing multi-team decisions
- Experience influencing product roadmaps through engineering insights

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, VA, Arlington - 200,100.00 - 270,600.00 USD annually
USA, VA, Herndon - 200,100.00 - 270,600.00 USD annually
USA, WA, Seattle - 200,100.00 - 270,600.00 USD annually

How we rate this

Principal Forward Deployed Engineer, AWS Forward Deployed Engineering at Amazon rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Principal Forward Deployed Engineer, AWS Forward Deployed Engineering is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $200k-$271k a year.
The role is based in US, VA, Arlington.
The job was posted on October 29, 2026.
Seniority: lead.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Also common in forward deployed engineer jobs at this level

Python TypeScript JavaScript LLM Azure Google Cloud

Pay

This job starts at: $200k
Typical forward deployed engineer job: $180k

This posting starts 11% above the typical forward deployed engineer job. See forward deployed engineer jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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