Anna Hrehlevych
ConsultantJob Description
Experience: 10+ Years
Language: Fluent English (Written & Spoken)
About the Role We are looking for a Senior Knowledge Graph Engineer to build and evolve the semantic foundation of an AI-driven enterprise platform. You will design ontologies, semantic models, and knowledge graphs that enable analytics, AI agents, automation workflows, retrieval systems, and intelligent applications to understand and connect data consistently.
This role combines data engineering, semantic modeling, ontology design, and graph architecture to create scalable, reusable, and governed knowledge assets.
Key Responsibilities
- Design and maintain ontologies, taxonomies, semantic models, and domain models.
- Build and evolve knowledge graphs and context graphs representing entities, relationships, events, dependencies, and business processes.
- Define entity resolution, deduplication, normalization, identity management, and relationship confidence frameworks.
- Model lifecycle states, hierarchy, ownership, lineage, provenance, and temporal relationships.
- Develop graph construction patterns linking structured data, unstructured data, documents, communications, and operational events.
- Establish governance, validation, and quality standards for semantic and graph assets.
- Enable AI agents, RAG solutions, workflow automation, recommendations, search, and machine reasoning capabilities.
- Collaborate with Data Engineering, Architecture, Product, Governance, and AI teams to deliver scalable semantic solutions.
- Experience with semantic modelling, ontology design, knowledge graphs, graph data modelling, or domain modelling.
- Strong understanding of entities, relationships, events, lifecycle states, and business context.
- Ability to translate complex business concepts into reusable semantic and graph structures.
- Familiarity with graph databases, ontologies, taxonomies, and knowledge representation.
- Experience with entity resolution, normalization, provenance, lineage, and metadata management.
- Understanding of structured and unstructured data and their integration into graph-based models.
- Experience designing models that support both human interpretation and machine reasoning.
- Knowledge of AI agents, retrieval systems, automation workflows, and analytics use cases.
By applying for this role, you consent to SGI contacting you by telephone regarding recruitment services, market updates, and relevant business opportunities
We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
Source Group International Ltd is acting as an Employment Business in relation to this vacancy