Knowledge Graph Engineer (Insurance)

Us3 Consulting; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Us3 Consulting is seeking a hands-on Knowledge Graph Engineer to design and build knowledge graphs, ontologies and semantic data models that support enterprise AI solutions. You will collaborate with AI, data and architecture teams to structure complex information, improve search and retrieval, and enable LLM, RAG, and GraphRAG use cases across the organisation.

This role requires strong experience with semantic modelling, graph databases and cloud platforms, and a collaborative approach across

Qualifications

• Proven experience designing and implementing knowledge graphs.
• Hands-on ontology and semantic modelling expertise.
• Strong knowledge of graph databases and semantic standards.
• Experience with data integration and API development.
• Proficient in Python or Java.
• Ability to collaborate with both technical and business teams.
• Experience integrating knowledge graphs with LLMs or RAG solutions.
• Knowledge of semantic search, entity resolution and metadata management.
• Experience with cloud-based AI or data platforms.

Responsibilities

• Design and develop knowledge graphs and enterprise ontologies.
• Build semantic models for complex business domains.
• Integrate structured and unstructured data from multiple sources.
• Develop graph-based solutions that support AI, search and data discovery.
• Translate business concepts into scalable knowledge models with stakeholders.
• Support knowledge graphs within LLM, RAG and GraphRAG use cases.
• Ensure knowledge models are governed, reusable and aligned with enterprise standards.

Job description

We are seeking a hands-on Knowledge Graph Engineer to design and build knowledge graphs, ontologies and semantic data models that support enterprise AI solutions.

The role will involve working closely with AI, data and architecture teams to structure complex information, improve search and retrieval, and support LLM, RAG and agentic AI use cases.

Key Responsibilities

• Design and develop knowledge graphs and enterprise ontologies.
• Build semantic models for complex business domains.
• Integrate structured and unstructured data from multiple sources.
• Develop graph-based solutions that support AI, search and data discovery.
• Work with stakeholders to translate business concepts into scalable knowledge models.
• Support the use of knowledge graphs within LLM, RAG and GraphRAG solutions.
• Ensure knowledge models are governed, reusable and aligned with enterprise standards.

Required Experience

• Strong experience designing and implementing knowledge graphs.
• Hands-on ontology and semantic modelling experience.
• Good knowledge of graph databases and semantic standards.
• Experience with data integration and API development.
• Strong programming skills, ideally in Python or Java.
• Ability to work across technical and business teams.
• Experience integrating knowledge graphs with LLMs or RAG solutions.
• Knowledge of semantic search, entity resolution and metadata management.
• Experience working with cloud-based AI or data platforms.