Job Title: Lead Consultant - Knowledge graph expert

GCL : E

Introduction to role:

Are you ready to turn knowledge graphs and agentic AI into production products that accelerate how medicines reach patients? Do you thrive on moving from idea to working software, shipping secure, reliable systems that reason, plan and act across complex data and tools?
In this hands-on role, you will lead the design and build of GenAI assistants and agentic solutions that help global supply chain teams plan, source and deliver with greater speed and confidence. You will create end-to-end applications that combine RAG and Graph RAG with full-stack engineering and deploy them on AWS—bridging pioneering AI with the realities of enterprise operations to deliver measurable impact.

You will join a small, multi-functional team where product, data science and engineering sit side by side. Here, you will turn high-value supply chain problems into scalable AI products, moving quickly from PoC to production while building reusable patterns the wider organization can adopt.

Accountabilities:




- Product Strategy and Alignment: Translate priority supply chain problems into product roadmaps and technical strategies that deliver measurable outcomes (cycle-time reduction, service-level improvements, transparency for decision-makers).
- Agentic AI Development: Design and implement agents that plans, reason and act using tool/function calling and orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen or Bedrock Agents), including multi-agent workflows where they contribute.
- End-to-End LLM Applications: Build robust RAG and Graph RAG pipelines—embeddings, vector search, retrieval and re-ranking, prompt orchestration and evaluation—to ground responses in trustworthy data and supply chain context.
- Knowledge Graph Integration: Model supply chain entities and relationships; integrate graph-based retrieval to power reasoning and traceability across processes and data sources, enabling better root-

📌 Lead Consultant (Chennai)
🏢 AstraZeneca
📍 Chennai