Lead Forward Deployed Engineer – Snowflake

Lead Forward Deployed Engineers (FDE) to build and deploy GenAI solutions into production for enterprise clients, focusing on LLM-enabled applications like copilots and agentic workflows. This role involves client-facing leadership, pod management, and hands-on architecture and delivery of RAG pipelines and evaluation frameworks.

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
  5. Govern end-to-end RAG pipeline design—including ingestion, chunking, embedding, vector retrieval, and hybrid search—ensuring production-grade quality and scalability.

Skills

Required

  • Snowflake
  • GenAI
  • LLM
  • RAG
  • evaluation frameworks
  • client-facing
  • leadership
  • architecture
  • delivery

Nice to have

  • prompt engineering
  • tool-use patterns
  • human-in-the-loop controls
  • hybrid search

What the JD emphasized

  • enterprise-scale impact
  • GenAI solutions
  • LLM-enabled applications
  • production
  • RAG pipeline design
  • evaluation frameworks

Other signals

  • GenAI solutions
  • LLM-enabled applications
  • production
  • enterprise-scale impact