Embedded AI Production Engineer — Top Secret Clearance

Amazon Web Services (AWS)

Herndon (VA)

In loco

USD 144.000 - 194.000

Tempo pieno

2 giorni fa

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Descrizione del lavoro

Amazon Web Services (AWS) is seeking a Forward Deployed Engineer II to embed directly inside a strategic enterprise customer, designing, building, deploying, and running AI-powered production systems alongside the customer's engineering team in Herndon, VA. This role combines the rigor of a software development engineer with ownership and urgency to deliver measurable customer outcomes.

FDE IIs write production-grade software and own delivery of complete AI workstreams—from requirements

Competenze

3+ years of non-internship professional software development experience.
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience communicating technical concepts to non-technical audiences
Experience in a highly agile environment
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
US government security clearance of top secret or above

Mansioni

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.
Own production for your workstream. Be a significant contributor to the full software development lifecycle including scoping, design, code, testing, deployment, and maintenance.
Troubleshoot production incidents across AI models, distributed systems, and application services. Ensure root causes of operational issues are identified and resolved.
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.
Accelerate customer adoption. Identify opportunities to expand AI adoption within your customer engagement.