Lead Forward Deployed Engineer, Microsoft AI & Data
Work you’ll do
- 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
- Career development and mentoring 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
- 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)
Client Engagement
- Translate engineering trade-offs into clear decisions for client leaders when needed
Cross-Functional Pod Leadership & Program Governance
- Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience
GenAI Solution Development
- 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)
Recruiting for this role ends on 10/30/2026
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.
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From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.