Forward Deployed Engineer
Amazon· AWS Forward Deployed Engineering
SingaporeFull-timePosted yesterday
About the role
A Forward Deployed Engineer II embeds inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. Responsibilities cover end-to-end software delivery for AI workstreams, mentoring, and accelerating customer adoption. Requires travel.
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. Integrate foundation models, customer data sources, and existing applications into cohesive AI experiences. Optimize for latency, reliability, and cost.
- Own production for your workstream. Contribute to the full software development lifecycle — scoping, design, code, testing, deployment, operations, and maintenance. Troubleshoot production incidents across AI models, distributed systems, and application services. Implement monitoring, guardrails, and CI/CD.
- Mentor and uplift. Actively mentor new team members, coach on code quality through reviews, and provide meaningful feedback.
- Accelerate customer adoption. Identify opportunities to expand AI adoption within customer engagements; codify reusable patterns and accelerators.
Qualifications
- 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
Skills
Required:Agile / startup environment experienceTechnical communicationAI agent developmentAI tools
Nice to have:Full SDLCCustomer-facing workAI/ML production deploymentLeadership / ownership backgroundProgramming languages
Last updated Oct 25, 2026. Interested? Apply on the company site.
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