Enterprise Ontology Architect: Knowledge Graph & AI

UNIQA Group

Wien

On-site

EUR 63,000 - 77,000

Full time

9 days ago
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Job summary

UNIQA IT Services GmbH invites you to join as Ontology Architect (f/m/d) in Vienna. You will own enterprise ontology architecture, ensure semantic models, knowledge graphs, vocabularies, and alignment with enterprise architecture and the Agentic AI Platform.

You will define standards, governance, integration patterns, and patterns that combine semantic context with documents and data. Strong expertise in ontology engineering and RDF/OWL/SKOS/SHACL/SPARQL is required; insurance domain experience

Qualifications

  • Proven experience in enterprise, information, data, or semantic architecture within complex enterprise environments.
  • Deep expertise in ontology engineering, knowledge graphs, semantic modelling, taxonomies, controlled vocabularies, and enterprise information models.
  • Strong knowledge of RDF, OWL, SKOS, SHACL, SPARQL, validation, provenance, and related semantic standards.

Responsibilities

  • Define and maintain the target architecture for enterprise ontologies, knowledge graphs, controlled vocabularies, semantic services, and ontology-driven AI capabilities.
  • Establish the ontology layering model across enterprise, domain, country, and use case levels, including ownership, inheritance, extension, localization, and reuse principles.
  • Define standards for semantic modelling, classifications, relationships, constraints, naming, versioning, validation, provenance, and lifecycle management.
  • Drive the integration of ontologies and knowledge graphs with the Agentic AI Platform, including GraphRAG, Vector RAG, agent runtime, MCP tools, memory, and source-system access.

Job description

UNIQA IT Services GmbH invites you to join as Ontology Architect (f/m/d) in Vienna. You will own enterprise ontology architecture, ensure semantic models, knowledge graphs, vocabularies, and alignment with enterprise architecture and the Agentic AI Platform.

You will define standards, governance, integration patterns, and patterns that combine semantic context with documents and data. Strong expertise in ontology engineering and RDF/OWL/SKOS/SHACL/SPARQL is required; insurance domain experience

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