Senior GenAI & Databricks FDE Lead

Deloitte France; San Antonio (TX); On-site; USD 189,000 - 373,000; Full time

Job summary

Deloitte is seeking a Lead Databricks FDE to serve as senior practitioner-leader embedded with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production. You will set technical direction, review code, and stay hands-on while guiding delivery to scale.

You will travel up to 50% to work with client teams, align executives, and shape multi-pod engagements, combining cloud, data, and AI foundations to achieve enterprise impact.

Qualifications

• Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
• 7+ 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 Databricks including hands on experience with DBRX, MLflow, Vector Search, Databricks AI Gateway.
• 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.
• Limited immigration sponsorship may be available.

Responsibilities

• Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
• Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
• Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
• Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.
• Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
• Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
• Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
• Mentor and develop junior FDEs
• Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms
• Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
• Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.
• Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.
• Review and contribute to production-quality code
• Guide architecture of data pipelines powering GenAI use cases
• Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
• Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)

Education

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering

Tools

Databricks

MLflow

Vector Search

Databricks AI Gateway

Job description

Deloitte is seeking a Lead Databricks FDE to serve as senior practitioner-leader embedded with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production. You will set technical direction, review code, and stay hands-on while guiding delivery to scale.

You will travel up to 50% to work with client teams, align executives, and shape multi-pod engagements, combining cloud, data, and AI foundations to achieve enterprise impact.