Principal Data Architect

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
• Strong 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
• GraphRAG, LangGraph, LangChain, MCP (Model Context Protocol)
• Vector Databases, Enterprise Search, AI Observability
• LLM Evaluation Frameworks
• AI Platform Engineering & Agentic AI Systems
• Financial Services, Payments, Insurance, or Healthcare Domain Experience