Forward Deployed Engineer, FDE US Government
AI summary of the role
This role embeds a senior software engineer directly inside a strategic US government customer to design, build, and run AI-powered production systems end-to-end.
What you’ll do
- Embed within customer engineering teams to understand business processes and translate requirements into technical designs for AI-enabled production systems.
- Design and develop production-grade software for AI and agentic workflows, including retrieval pipelines, workflow automation, API orchestration, and data integration.
- Own the full software development lifecycle for your workstream, including scoping, design, code, testing, deployment, operations, and maintenance.
- Troubleshoot production incidents across AI models, distributed systems, and application services; implement monitoring, evaluations, guardrails, and CI/CD.
What you’ll bring
- 3+ years of non-internship professional software development experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or related field
- 2+ years of experience in an Agile, startup, or rapidly scaling environment
- Experience with agentic and spec-driven development, and AI tools (eval frameworks, agent tooling, RAG pipelines, prompt engineering)
Technologies
AI agents · RAG pipelines · prompt engineering · eval frameworks · agent tooling · CI/CD · 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:
Application deadline: Sep 11, 2026 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
More from the job description
Application deadline: Sep 11, 2026 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. This position requires that the candidate selected be a US Citizen and currently possess and maintain an active TS/SCI clearance with Polygraph. 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 ar [... source excerpt omitted ...] cture, 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. [... source excerpt omitted ...] ure. 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. 10047 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 appl
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