Description
Knowledge Graph & Agentic GenAI Specialist
Role Overview
We are seeking a Knowledge Graph & Agentic GenAI Specialist with X+ years of experience to lead and deliver enterprise-scale GenAI and Knowledge Graph solutions.
This role sits within our Data & AI Consulting practice and focuses on building reasoning‑heavy, graph‑centric GenAI systems for complex business domains. The ideal candidate brings deep expertise in Knowledge Graph engineering, combined with hands-on experience in Agentic AI and Graph RAG architectures, and can lead client engagements from ideation through production deployment.
Key Responsibilities
Knowledge Graph & Graph RAG
Design, build, and scale enterprise Knowledge Graphs, including schema, ontology, and relationship modeling for complex, high‑cardinality domains; operate and optimize Neo4j platforms at scale with robust proficiency in Cypher, performance tuning, and ingestion pipelines. Architect and implement Graph RAG and Agentic GenAI solutions, combining Knowledge Graphs with LLMs using frameworks such as LangGraph,



enabling multi‑step reasoning, hybrid Graph + Vector retrieval, and end‑to‑end GenAI architectures from ingestion through inference.
Delivery, Leadership & Consulting
Lead project delivery and ensure client business objectives are achieved end‑to‑end. Contribute to solution ideation, technical design, and client workshops with stakeholders. Support pre-sales activities, including solution design, demos, and technical inputs for proposals. Build secure, scalable APIs and microservices, collaborating with data, ML, and product teams. Mentor, upskill, and provide technical guidance to team members; perform design and code reviews.
Required Skills & Experience
6+ years of hands-on experience in Knowledge Graphs, GenAI, or Agentic AI solutions. Solid hands-on experience with Neo4j (Enterprise preferred). Advanced proficiency in Cypher, including query optimization, indexing, and constraints. Proven experience managing

📌 Ai Engineer Bengaluru
🏢 Bsr
📍 Bengaluru