Lead Palantir Forward Deployed Engineer - Gps

Lead Palantir Forward Deployed Engineer focused on building and deploying GenAI solutions, including LLM-enabled applications, agentic workflows, and knowledge search experiences, using enterprise AI platforms. The role involves architecting RAG pipelines, defining evaluation frameworks, and leading engineering pods to deliver production-grade AI solutions for clients.

What you'd actually do

  1. Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
  2. Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
  3. Lead FDE pods of 2–5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
  4. Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
  5. Govern end-end RAG pipeline design—including ingestion, chunking, embedding, vector retrieval, and hybrid search—ensuring production-grade quality and scalability.

Skills

Required

  • Software engineering
  • Data engineering
  • Data science
  • Analytics engineering
  • Building and deploying GenAI/LLM-powered solutions
  • Palantir Foundry/AIP/Maven
  • Leading project workstreams/engagements
  • Translating business problems into AI solutions
  • Building reliable, maintainable, and well-documented code
  • Cloud environments (AWS, Azure, and/or Google Cloud)
  • US government security clearance

Nice to have

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments

What the JD emphasized

  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Palantir including hands on experience with one of the following key platform technologies; Foundry, AIP, Maven
  • Ability to obtain and maintain a US government security clearance

Other signals

  • Deploying GenAI solutions into production
  • Architect and oversee delivery of LLM-enabled applications
  • Govern end-to-end RAG pipeline design
  • Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance