AI Lead

The AI Lead owns technical architecture and delivery for the agentic pilot. This person selects the target use case with the client, architects the end-to-end agentic solution, sets the observability strategy, and turns pilot results into a repeatable sizing model. The AI Lead also directs identification and sequencing of the next wave of agentic candidate use cases.

• Lead selection and scoping of the target use case in partnership with client stakeholders and the Data Engineer
  
• Architect the end-to-end agentic pipeline, including orchestration (LangGraph), retrieval (RAG), and tool/API integration
  
• Define and stand up an architect-level agent observability strategy: tracing, evaluation harnesses, guardrail and drift monitoring
  
• Direct and review the work of the AI Engineers, Data Engineer, and QA Engineer across the pilot build
  
• Design the methodology for measuring FTE efficiency gained from the pilot, in collaboration with QA
  
• Translate pilot results into a reusable estimation model for sizing future BOWs of a similar project archetype
  
• Lead identification of 3-5 additional agentic candidate use cases and develop a recommended build roadmap and sequencing
  
• Present pilot outcomes, the estimation model, and the roadmap to client leadership
  

Required Skills & Experience

• Deep expertise in LangChain / LangGraph and RAG architecture patterns
  
• Strong, hands-on Python for agentic application development
  
• Architect-level experience designing observability/monitoring for agentic or LLM-based systems
  
• Working knowledge of FastAPI for service/API layer design
  
• Prior experience scoping and delivering AI/agentic pilots in a consulting context
  
• Strong client-facing communication and executive presentation skills