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Knowledge Graph Architect - Inside IR35 - Up to £900 per day

London Area, United Kingdom Contract Posted 1 week ago

Knowledge Graph Architect

Contract | Inside IR35 | Central London (Hybrid)

Up to £900 per day


Overview

We are seeking a Knowledge Graph Architect to support a major banking client’s AI and data transformation programme. You will design and govern the enterprise knowledge graph that powers Graph RAG, AI agents, intelligent search and advanced analytics.


This role is focused on technical architecture: ontology design, graph data modelling, Neo4j implementation patterns, and scalable graph platform design for enterprise AI use cases.


Key Technical Focus

  • Design enterprise knowledge graph architecture (ontology, taxonomy, nodes, relationships, properties)
  • Define Neo4j graph schemas and modelling standards for scalable implementation
  • Build Graph RAG retrieval patterns for LLM/AI agent optimisation
  • Design canonical graph data models and enforce consistency between structured and AI-inferred data
  • Develop APIs and graph data access patterns for AI systems, analytics and applications
  • Define graph governance, versioning and modelling standards across platforms
  • Ensure performance, scalability, security and integration with enterprise data architecture
  • Support metadata, lineage and data quality integration within graph structures
  • Enable graph-based AI capabilities across search, reasoning and knowledge systems


Required Skills

  • Strong Neo4j and graph database architecture experience
  • Deep expertise in ontology engineering and semantic modelling
  • Experience building Graph RAG systems for LLM/AI applications
  • Strong data modelling and canonical data architecture background
  • API design and data integration experience in enterprise environments
  • Understanding of data governance, security and regulated systems


Desirable

  • Financial Services or banking experience
  • Experience with Generative AI or agentic AI systems
  • Cloud experience (AWS, Azure or GCP)
  • Familiarity with metadata, lineage or MDM concepts
  • Experience in large-scale AI/data transformation programmes

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