Lead Databricks Forward Deployed Engineer - Gps

Lead Databricks Forward Deployed Engineer for Deloitte's Government & Public Services (GPS) practice, focusing on developing and deploying GenAI solutions for clients. This role involves architecting and overseeing the delivery of LLM-enabled applications, including copilots and agentic workflows, using enterprise AI platforms. It requires strong client-facing skills, pod leadership, and hands-on experience with Databricks technologies like DBRX, MLflow, and Vector Search. The role also encompasses governing RAG pipelines, defining evaluation frameworks, and ensuring production-grade quality, scalability, and cost-effectiveness.

What you'd actually do

  1. 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)
  2. Govern end-to-end RAG pipeline design—including ingestion, chunking, embedding, vector retrieval, and hybrid search—ensuring production-grade quality and scalability.
  3. Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.
  4. Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
  5. Lead FDE pods of 2–5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health

Skills

Required

  • Databricks
  • GenAI/LLM development
  • Software Engineering
  • Data Engineering
  • Analytics Engineering
  • Cloud environments (AWS, Azure, Google Cloud)
  • Databricks AI Gateway
  • DBRX
  • MLflow
  • Vector Search
  • Prompt Engineering
  • RAG pipeline design
  • Evaluation frameworks for AI
  • Production-quality code development
  • Data pipelines for GenAI
  • Data management
  • Testing
  • CI/CD
  • Logging
  • Versioning
  • Documentation practices
  • Client-facing communication
  • Team leadership
  • Program governance

Nice to have

  • Experience with common platform services (storage, compute, IAM, networking)
  • Experience working directly alongside client technical teams and program stakeholders in fast-paced, ambiguous 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 Databricks including hands on experience with one of the following key platform technologies; DBRX, MLflow, Vector Search, Databricks AI Gateway
  • Ability to obtain and maintain a US government security clearance

Other signals

  • GenAI Solution Development
  • LLM-enabled applications
  • production-grade quality and scalability
  • enterprise AI platforms