Ontology Engineer 17614
Veritaz AB
📍 Sverige
⏰ Heltid
📋 Tidsbegränsad anställning
🗓 Ansök senast 7 juni 2026
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Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description
We are looking for an experienced Ontologist for an exciting assignment focused on AI, semantic models, and knowledge graphs.
What You Will Work On
Design and develop ontologies and semantic knowledge structures
Model business concepts, relationships, rules, and inference patterns
Structure information for AI search, GraphRAG, and agent-based systems
Work with both structured and unstructured enterprise data
Collaborate with engineers, product teams, and data scientists
Support integration of ontologies into AI and knowledge-driven systems
Create documentation and semantic model descriptions
Validate semantic models against business workflows and use cases
Contribute to governance and management of knowledge models
Support AI systems with structured semantic context and knowledge representation
What You Bring
Experience with ontologies and knowledge representation
Strong knowledge of semantic standards including RDF, OWL, SHACL, and SPARQL
Experience with ontology management platforms
Understanding of how ontologies are used in AI, RAG, and agentic systems
Experience modeling and structuring complex information
Ability to work cross-functionally with technical, product, and data teams
Relevant education within information science, computer science, or similar field
Strong analytical and structured mindset
Good communication and collaboration skills
Assignment Description
We are looking for an experienced Ontologist for an exciting assignment focused on AI, semantic models, and knowledge graphs.
What You Will Work On
Design and develop ontologies and semantic knowledge structures
Model business concepts, relationships, rules, and inference patterns
Structure information for AI search, GraphRAG, and agent-based systems
Work with both structured and unstructured enterprise data
Collaborate with engineers, product teams, and data scientists
Support integration of ontologies into AI and knowledge-driven systems
Create documentation and semantic model descriptions
Validate semantic models against business workflows and use cases
Contribute to governance and management of knowledge models
Support AI systems with structured semantic context and knowledge representation
What You Bring
Experience with ontologies and knowledge representation
Strong knowledge of semantic standards including RDF, OWL, SHACL, and SPARQL
Experience with ontology management platforms
Understanding of how ontologies are used in AI, RAG, and agentic systems
Experience modeling and structuring complex information
Ability to work cross-functionally with technical, product, and data teams
Relevant education within information science, computer science, or similar field
Strong analytical and structured mindset
Good communication and collaboration skills