Forward Deployed Engineer, AWS Forward Deployed Engineering

Amazon Inc.; New York (NY); On-site; USD 158,000 - 214,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. seeks a Forward Deployed Engineer II to embed with a strategic enterprise customer, designing and deploying AI-powered production systems alongside the customer's engineers. You will own the full lifecycle, from requirements to production, and mentor teammates to raise code quality and delivery speed.

The role emphasizes autonomous problem solving, collaboration with stakeholders, and tangible business outcomes through scalable AI solutions.

Qualifications

• 3+ years of non‑internship professional software development experience.
• 2+ years in Agile, startup, or rapidly scaling environment.
• Experience communicating technical concepts to both technical and non-technical audiences.
• Degree in Computer Science or related field, or equivalent professional experience.
• Experience with agentic and spec‑driven development and AI tools.

Responsibilities

• Embed within customer engineering teams; translate requirements into designs for AI systems.
• Build production AI applications powering agentic workflows and integrations.
• Own production for the workstream across the full SDLC and incident response.
• Mentor and uplift team members; participate in code reviews and knowledge sharing.
• Accelerate customer adoption by codifying reusable AI patterns and accelerators.

Skills

Software development

Agile/startup environment

Technical communication

AI tools & prompt engineering

Agentic development

Education

Degree in Computer Science or related field

Tools

React

TypeScript

Python

Go

Job description

Job ID: 10576499 | Amazon Web Services, Inc.

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.

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

• 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
• Degree in Computer Science or related field, or equivalent professional experience
• 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

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience working in customer production environments
• 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
• Experience with AWS services

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, MA, Boston - 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, WA, Seattle - 143,700.00 - 194,400.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.