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 roo

📌 Lead Consultant (Chennai)
🏢 AstraZeneca
📍 Chennai