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Ontology Architect

The Avian Consulting LLCNew York, NY🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

Shape the future of AI-driven licensing by architecting a cutting-edge knowledge graph foundation, offering significant impact and continuous learning opportunities. If you are a seasoned Ontology Architect with expertise in OWL, RDF, and SPARQL, eager to collaborate with business SMEs in a client-facing role, this opportunity in New York is for you. Apply today to contribute to groundbreaking work in the media and entertainment sector.

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

New York, NY, United States

Posted

23 hours ago

Neo4jSnowflakeApacheIntellectual Property

Job Description

We are seeking a client-facing Ontology Architect to design the licensing ontology and knowledge-graph foundation for the WBD Agentic AI engagement. The candidate will work directly with business SMEs and architects, translating licensing concepts and policies into semantic models.

🎯 Strong hands-on expertise in OWL, RDF, SPARQL, and Amazon Neptune.
💼 10+ years of experience in data or semantic technologies, including 5+ years in ontology and knowledge-graph solutions.
📍 Must be local to New York, NY — no remote, no relocation.
🏦 Experience in Media and Entertainment, particularly content licensing, rights management, or intellectual property.

Requirements

10+ years in data or semantic technologies
5+ years in ontology and knowledge-graph solutions
Strong client-facing communication skills
Experience with graph platforms such as Amazon Neptune, Stardog, GraphDB, Neo4j, or Apache Jena

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.

Requirements

10+ years in data or semantic technologies 5+ years in ontology and knowledge-graph solutions Strong client-facing communication skills Experience with graph platforms such as Amazon Neptune, Stardog, GraphDB, Neo4j, or Apache Jena

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.