Lead Knowledge Graph Engineer

Lead Knowledge Graph Engineer

Posted Today by Infinity Quest

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Negotiable
Undetermined
Undetermined
London, England, United Kingdom
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Apache Jena Applications Of Artificial Intelligence Artificial Intelligence Data Infrastructure Knowledge Graph Ontologies Python (Programming Language) RDF Query Language (RDF Data Access) SPARQL Protocol And RDF Query Language (SPARQL) Strategic Roadmaps

Summary: The Knowledge Graph Lead Engineer will evaluate, optimize, and scale the enterprise semantic data infrastructure, focusing on bridging complex biomedical data with actionable AI applications. Responsibilities include conducting health checks on the current stack, refining bio-ontologies, and developing a strategic roadmap for future platforms. The role requires expertise in RDF, SPARQL, and OWL, along with experience in RDF databases and a strong understanding of ontology concepts.

Key Responsibilities:

  • Evaluate and optimize the enterprise semantic data infrastructure.
  • Bridge complex biomedical data with actionable AI applications.
  • Conduct comprehensive health checks on the current stack.
  • Refine bio-ontologies.
  • Build the strategic roadmap for next-generation GraphRAG and GenAI platforms.

Key Skills:

  • Knowledge of RDF, SPARQL, and OWL.
  • At least 1 year of hands-on experience with an RDF database such as Stardog, AnzoGraph, Blazegraph, or Apache Jena.
  • Strong understanding of ontology concepts.
  • Proficiency in Python.
  • Experience with Generative AI, RAG, and GraphRAG.
  • Pharma domain knowledge.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role Overview - We are seeking a Knowledge Graph Lead Engineer to evaluate, optimize, and scale our enterprise semantic data infrastructure. In this role, you will bridge the gap between complex biomedical data and actionable AI applications. You will conduct comprehensive health checks on our current stack, refine bio-ontologies, and build the strategic roadmap for our next-generation GraphRAG and GenAI platforms. Primary Skill Knowledge of RDF, SPARQL, and OWL. At least 1 year of hands-on experience with an RDF database such as Stardog, AnzoGraph, Blazegraph, or Apache Jena. Strong understanding of ontology concepts. Python. Generative AI, RAG, and GraphRAG. Pharma Domain Knowledge -

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