Senior Forward Deployed Engineer, AWS Forward Deployed Engineering

AWS has formed a new Forward Deployed Engineer (FDE) team dedicated to embedding AI Engineers and Scientists directly inside strategic enterprise customer environments to help design build and deploy AI-powered production systems. We dont build from a distancewe sit with customers work in their infrastructure and deliver production-grade AI solutions that transform how they operate. This initiative is scaling rapidly.

The Senior Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design build deploy and run AI-powered production systems alongside the customers engineering team. Senior 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 customers business processes technical architecture and operational constraints. Translate ambiguous business problems into scalable AI-enabled production systems. Requires up to 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.
Build and maintain internal AI tools and customer-facing assets and AI-enbled products to accelerate and scale the FDE motion.
Route field signal into the closed-loop product feedback mechanism such as filing PFRs escalating deployment-critical gaps and feeding delivery learnings that become the next AWS primitives (as we already do with AWS Transform and Kiro).
Raise the bar. Mentor engineers. Contribute to AWS engineering best practices for AI and forward deployment.

- - 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

- Bachelors degree in computer science or equivalent
- 5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience building production AI or ML applications including agentic workflows
- Strong written and verbal communication skills; comfort working in customer-facing environments

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