Sr Forward Deployed Engineer, AWS Forward Deployed Engineering
AI summary of the role
This role embeds a senior engineer directly inside strategic enterprise customers to architect, build, and run production AI systems end-to-end, owning technical strategy and delivery across multi-workstream programs.
What you’ll do
- Own technical strategy and execution for complex, multi-workstream customer AI programs, requiring 30-50% travel.
- Architect and build production AI systems at scale, including multi-agent orchestration, enterprise retrieval, and decision intelligence platforms.
- Define operational standards, evaluation frameworks, and production readiness criteria for AI systems.
- Mentor junior FDEs, contribute to hiring, and drive engineering excellence standards.
What you’ll bring
- 5+ years of non-internship professional software development experience.
- 5+ years of programming with at least one software programming language.
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems.
- Experience as a mentor, tech lead, or leading an engineering team.
Technologies
AI agents · RAG pipelines · prompt engineering · eval frameworks · agent tooling · React · TypeScript · Python · Go · AWS
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
Source and classification
Production engineering · Evidence for this classification:
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 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.
More from the job description
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 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 30–50% travel. Architect and build production AI systems at scale - Design the foundational architectures — multi-agent orchestration, enterprise retrieval systems, decision intelligence platforms — for the most complex customer engagements. Drive clarity where neither the business problem nor technology approach is fully defined. Build production systems that handle enterprise-scale traffic and reliability requirements. Own production excellence across workstreams - Define operational st [... source excerpt omitted ...] effectiveness - Define engineering patterns, contribute to the interview and hiring process, and mentor junior FDEs into independent contributors. Coach others on system design, customer engagement, and production operations. Drive engineering excellence standards within your scope. Accelerate customer transformation - Identify systemic opportunities to expand AI adoption across the customer organization. Create accelerators and reusable platforms that reduce time-to-value from months to weeks. Feed learnings back into AWS services and the FDE practice. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the pref [... source excerpt omitted ...] g. 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. Ou
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