About the Company

We are seeking a Principal Knowledge & Data Platform Lead to architect the knowledge, retrieval, and context foundation that enables AI agents to reason, retrieve, learn, and operate safely in highly regulated environments.

About the Role

This is a high-impact individual contributor role for a senior technologist who combines deep expertise in Knowledge Graphs, RAG, Context Engineering, AI Knowledge Management, and Enterprise Data Platforms.

Responsibilities

Enterprise Knowledge Graph architecture, ontology design, semantic modeling, and graph-based retrieval
End-to-end RAG optimization including embeddings, hybrid search, GraphRAG, reranking, retrieval evaluation, and grounding quality
Context Engineering frameworks that determine what information enters an agent's context window, when, and at what cost
AI Knowledge Management lifecycle covering curation, provenance, versioning, freshness, governance, and auditability
Agent Memory platforms supporting episodic and long-term memory across AI systems
Permission-aware retrieval with tenant isolation,



document-level security, compliance controls, and audit trails
Data flywheel architecture transforming production data into training and evaluation assets for future LLM and SLM development

Preferred Skills

Deep expertise in Neo4j, Knowledge Graphs, Ontologies, and Semantic Data Modeling
Proven experience building and scaling production-grade RAG systems
Solid understanding of GraphRAG, Hybrid Retrieval, Embedding Strategies, and Retrieval Evaluation
Experience with Context Engineering, Agent Memory, and Agentic AI architectures
Knowledge management expertise focused on AI consumption rather than traditional enterprise search
Experience working within regulated industries such as Financial Services, Banking, Insurance, Healthcare, or GDPR-governed environments
Technical leadership ability to define standards, influence architecture decisions, and drive adoption across multiple engineering teams
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📌 Principal Data Architect (India)
🏢 Capgemini
📍 India