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NTT DATA seeks a Knowledge Graph Architect in London to lead the design and governance of enterprise knowledge graphs. You will define ontology, data models, and the boundaries between canonical and interpretive data to enable scalable graph data for AI‑driven use cases, including Graph RAG.
You will provide hands‑on technical guidance, mentor the team, drive delivery, and collaborate with data, AI/ML and business units to translate requirements into semantic models for scalable, high‑quality
Req ID:376740NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, we are currently seeking a Knowledge Graph Consultant to join our team in London, London, City of (GB-LND), United Kingdom (GB).Job Title: Knowledge Graph ArchitectExperience: 10+ years (5+ years in Knowledge Graphs / Ontology Engineering)Role OverviewWe are looking for a Knowledge Graph Architect to lead the design and governance of enterprise knowledge graphs. This role will define the ontology, data model, and canonical vs. interpretive boundaries, enabling scalable, high-quality graph data for AI-driven use cases, including Graph RAG.The role also requires strong team leadership, including coaching, mentoring, and building internal capabilities.Key ResponsibilitiesArchitecture & DesignDefine node types, relationships, schemas, and property standardsDesign scalable and
extensible graph data modelsEstablish versioning and lifecycle standardsOntology & GovernanceDevelop ontologies, taxonomies, and semantic frameworksDefine canonical vs. interpretive data boundariesGovern schema evolution and version controlGraph Change ManagementAct as the authority for all structural changesManage schema, relationship, and property updatesDefine and enforce change control processesGraph RAG & AI EnablementDesign Graph RAG retrieval strategiesIntegrate knowledge graphs with LLMs and AI systemsOptimize context generation for AI use casesAPI & Consumption LayerDesign REST/GraphQL APIs for graph accessDefine agent consumption interfacesEnsure performance, scalability, and usabilityTeam LeadershipCoach, mentor, and develop internal talentProvide hands‑on technical guidance and reviewsDrive delivery, prioritization, and skill developmentStakeholder CollaborationPartner with data, AI/ML, and business teamsTranslate requirements into semantic modelsProvide thought leadership on
graph adoptionRequired SkillsNeo4j Schema Design (Cypher, property graph modeling)Ontology Engineering (OWL/RDF, Protégé)Graph RAG (LLM integration, retrieval strategies)API Design (REST / GraphQL)Preferred SkillsGraph platforms: Neptune, TigerGraphSemantic standards: SPARQL, SHACLAI/ML and LLM ecosystem exposureData governance and integration experienceSummaryThis role is pivotal in shaping the semantic foundation for enterprise AI, bridging data architecture, ontology design, and advanced AI capabilities while building and leading a strong internal team.About NTT DATANTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our
consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.Whenever possible, we hire local...