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

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

Posted 1 week ago by Hunter Bond

£900 Per day
Inside
Hybrid
London Area, United Kingdom

Summary: The Knowledge Graph Architect role involves supporting a major banking client's AI and data transformation program by designing and governing the enterprise knowledge graph. The position emphasizes technical architecture, including ontology design, graph data modeling, and Neo4j implementation patterns. The architect will also focus on ensuring performance, scalability, and integration with enterprise data architecture. This is a contract position classified as inside IR35, based in Central London with a hybrid working arrangement.

Key Responsibilities:

  • Design enterprise knowledge graph architecture (ontology, taxonomy, nodes, relationships, properties).
  • Define Neo4j graph schemas and modeling standards for scalable implementation.
  • Build Graph RAG retrieval patterns for LLM/AI agent optimization.
  • 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 modeling 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.

Key Skills:

  • Strong Neo4j and graph database architecture experience.
  • Deep expertise in ontology engineering and semantic modeling.
  • Experience building Graph RAG systems for LLM/AI applications.
  • Strong data modeling 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 programs.

Salary (Rate): £900 daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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