Senior GenAI & Databricks Lead, Client Delivery

Deloitte France; San Francisco (CA); Hybrid; USD 189,000 - 373,000; Full time

Job summary

Deloitte is seeking a Lead Databricks FDE to embed with strategic clients, leading forward-deployed pods that design, build, and deploy GenAI solutions into production. You will influence executive stakeholders and drive architecture across cloud environments in a hybrid delivery model.

You will mentor engineers, shape delivery governance, and ensure scalable, secure implementations with cross-functional teams globally.

Qualifications

• Bachelor's degree 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
• Experience with cloud environments and common platform services (storage, compute, IAM, networking)
• Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
• Experience operating within hybrid onshore/offshore teams
• Familiarity with security, privacy, and compliance considerations
• The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $189,200 to $372,900.

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
• Cross-Functional Pod Leadership & Program Governance
• 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
• GenAI Solution Development
• 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.
• Engineering & Data Foundations
• 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)

Skills

GenAI/LLM development

Databricks

Leadership

Client engagement

Hybrid/onshore/offshore delivery

Cloud platforms

Education

Bachelor's degree in Computer Science, Data Science or Engineering

Tools

Databricks DBRX

MLflow

Vector Search

Databricks AI Gateway

Job description

Deloitte is seeking a Lead Databricks FDE to embed with strategic clients, leading forward-deployed pods that design, build, and deploy GenAI solutions into production. You will influence executive stakeholders and drive architecture across cloud environments in a hybrid delivery model.

You will mentor engineers, shape delivery governance, and ensure scalable, secure implementations with cross-functional teams globally.