ontology architect

Key Responsibilities: Lead client workshops to understand licensing concepts, rights, restrictions, territories, platforms, and business rules. Design ontology models covering concepts, relationships, taxonomies, hierarchies, cardinalities, and constraints. Develop and govern semantic models using OWL, RDF, SHACL, and SPARQL. Map ontology concepts to authoritative enterprise data sources, including Snowflake. Define knowledge-graph structures, identifiers, provenance, lineage, and ontology versioning. Align ontology design with Agentic AI, deterministic rules, evidence traceability, and explainable decisions. Guide ontology, data, AI, application, and QA teams during implementation and testing. Review technical deliverables and present architecture decisions, risks, and recommendations to client stakeholders. Mandatory Skills Strong hands-on experience in enterprise ontology and knowledge-graph design. Expertise in OWL, RDF, RDFS, SHACL, SPARQL, taxonomies, and semantic modelling. Experience with graph platforms such as Amazon Neptune, Stardog, GraphDB, Neo4j, Apache Jena, or equivalent. Experience mapping ontologies to databases, APIs, metadata platforms, or cloud data warehouses. Knowledge of entity resolution, canonical identifiers, provenance, lineage, and ontology governance. Understanding of GenAI, Agentic AI, RAG, LLM grounding, and deterministic rule engines. Strong client-facing communication, workshop facilitation, architecture review, and team-guidance skills.

Preferred Skills: Media and Entertainment experience, particularly content licensing, rights management, or intellectual property. Experience integrating ontologies or knowledge graphs with AI or decision-support solutions. Exposure to AWS, Amazon Bedrock, Amazon Neptune, Snowflake, and Python. Experience with tools such as Protégé, TopBraid EDG, PoolParty, or Stardog Studio.