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Posted via Amazon Jobs

Senior Forward Deployed Engineer, AWS Forward Deployed Engineering

Posted Oct 25, 2026

Role at a glance

Salary
$168.1K – $261.5K/yr
Location
Boston, Massachusetts, United States Seattle, Washington, United States
Work arrangement
On-site
Experience
Senior Level 5+ years of non-internship professional software development experience
Education
Bachelor's degree in computer science or equivalent

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Role Summary

AI-generated

This Senior Forward Deployed Engineer role embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. The role owns outcomes end-to-end, from prototype through enterprise-scale deployment, and creates reusable architectures and patterns for the forward deployment practice.

What You'll Do

  • Embed within customer engineering teams to understand business processes, technical architecture, and operational constraints, and...
  • Design and develop production-grade software for AI and agentic workflows, including orchestration layers, retrieval pipelines, and...
  • Take systems from design through production rollout, troubleshoot production incidents, and put in place monitoring, evaluations,...
  • Identify opportunities to expand AI adoption across customer workflows and codify reusable patterns, accelerators, and reference...
  • Mentor engineers and contribute to AWS engineering best practices for AI and forward deployment.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Five or more years of professional software development and system design experience, with AI tooling and agentic development skills.

Required

  • 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
  • Requires 30 – 50% travel

Preferred

  • 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

Original job description

Content provided by the employer

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. 

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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
- 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, East Palo Alto - 193,300.00 - 261,500.00 USD annually
USA, MA, Boston - 168,100.00 - 227,400.00 USD annually
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, VA, Herndon - 168,100.00 - 227,400.00 USD annually
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
amazon

About the company

amazon

Large Enterprise

Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.