Lead Google Forward Deployed Engineer - Gps

Lead Google Forward Deployed Engineer for Deloitte's Government & Public Services practice, focused on designing, developing, and deploying GenAI solutions (LLM-enabled applications, agentic workflows, knowledge search) into production for clients. This role involves leading engineering pods, setting technical direction, and hands-on system design, review, and debugging, with a strong emphasis on RAG pipeline architecture and evaluation frameworks.

What you'd actually do

  1. Serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte’s most strategic clients.
  2. Set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team.
  3. 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)
  4. Govern end-to-end RAG pipeline design—including ingestion, chunking, embedding, vector retrieval, and hybrid search—ensuring production-grade quality and scalability.
  5. Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.

Skills

Required

  • 10+ years of experience in software engineering, data engineering, data science, or analytics engineering.
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Google including hands on experience with one of the following key platform technologies; Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to obtain and maintain a 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

What the JD emphasized

  • GenAI solutions into production
  • production-grade quality and scalability
  • production-quality code

Other signals

  • GenAI solutions into production
  • LLM-enabled applications
  • agentic workflows
  • RAG pipeline design
  • evaluation frameworks