Role-AI LEAD

Exp-8-10 Yrs

Location-Hyderabad

Description:

Role Overview

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.

Key Responsibilities

- 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 (Lang Graph), 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 Lang Chain / Lang Graph and RAG architecture patterns
- Robust, 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

📌 AI Lead (India)
🏢 Nubes
📍 India