Knowledge Graph & GenAI Data Scientist

Lead KG schema & ontology design across domains (assets, risk, supply chain, compliance)Build ingestion pipelines (ETL / streaming / CDC) and entity resolution for graph populationAuthor complex queries (Cypher, GSQL, AQL, SPARQL etc. depending on stack)Integrate knowledge graph retrieval & reasoning into LLM / RAG / GraphRAG systemsDevelop and evaluate graph ML / embedding models (link prediction, anomaly detection)Optimize graph performance, scaling, and query efficiencyLiaise with client stakeholders: translate business problems into graph solutionsMentor junior engineers, contribute to propositions, and support POCs

5+ years in engineering, data, or AI rolesDeep experience with at least one graph technology: Neo4j, TigerGraph, ArangoDB, OrientDB, or StardogProficiency in query languages (Cypher, GSQL, AQL, SPARQL, etc.)Strong background in pipelines, ETL, and entity resolutionExposure to integrating KG + LLM or RAG architecturesExperience with graph algorithms, embeddings, or GNNsCloud & production engineering literacy (AWS/Azure/GCP, containerization, CI/CD)Excellent communication skills - able to explain complex graph/AI concepts to non-technical audiences

Nice-to-Have / Bonus Assets

Experience with GraphRAG or KG-backed LLM retrievalSemantic web / ontology skills (RDF/OWL/SHACL)Prior consulting or client delivery backgroundGraph visualization / UI experience (Linkurious, Bloom, Ogma)Graph DB certifications (Neo4j, Stardog, etc.)High visibility & critical client impactExposure to cutting-edge hybrid AI / KG architecturesAutonomy, ownership, and fast learningCompetitive compensation + meaningful equity or bonus schemeFlexible / hybrid work arrangement

Global AI & analytics firm operating at the intersection of knowledge graphs, generative AI, and enterprise transformation. This role requires you to embed graph intelligence into mission-critical systems enabling explainable AI, unified data views, and advanced reasoning across regulated industries and industrial domains. You will drive the design, build, and deployment of knowledge graph + GenAI systems for high-impact clients. You’ll be part of a small elite team, bridging data, AI, and business outcomes - from model scoping through to production launch. Ship full systemsOperate in regulated or industrial domains (e.g. manufacturing, life sciences, public sector)Embed client strategy and technical teamsStretching the frontier: hybrid KG + AI, graph + reasoning + M