> Markdown version of [/jobs/ext/4269061-ontology-architect-with-graph-and-agentic-ai-100-remote](https://www.wearedevelopers.com/jobs/ext/4269061-ontology-architect-with-graph-and-agentic-ai-100-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Ontology Architect with Graph and Agentic AI-100% REmote

- **Company:** WBD Inc.
- **Location:** United States (Remote available)
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Cloud Database, Databases, Graph Database, Python (Programming Language), Metadata, Neo4j, Resource Description Framework (RDF), SPARQL, Management of Software Versions, Retrieval-Augmented Generation, Large Language Models, Snowflake, Agentic-AI, Amazon Bedrock, Entity Resolution
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/8d7a720e-7afd-416c-a7fa-bfcff009f526

## About the Role

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 Protg, TopBraid EDG, PoolParty, or Stardog Studio.

## Description

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, translate licensing concepts and policies into semantic models, and provide technical guidance to onsite and offshore engineering teams., 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.