Principal Ontologist and Graph Modeler

What you'll do

• Design and execute enterprise-scale semantic layers to standardize business meaning for analytics and AI use cases.
• Define and operationalize ontologies and knowledge graphs to power reasoning and decision intelligence across insurance domains.
• Model core insurance concepts including customers, policies, risks, and claims into formal, machine-readable structures.
• Enable semantic-first AI by ensuring large language models can consume governed business context, metrics, and rules.
• Define canonical semantic vocabularies to standardize meaning across structured and unstructured data sources.
• Drive production-scale execution of graph platforms with standards for performance, governance, security, and lifecycle management.
• Align ontologies and graph models with enterprise data governance, lineage, privacy, and security standards.
• Operationalize ontologies through graphs, metadata services, APIs, and production data platforms in collaboration with AI engineers.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Management, or a related field, or equivalent work experience.
• 8–12+ years of hands-on experience in semantic layer architecture, ontology modeling, graph modeling, and knowledge graph design at enterprise scale.
• Deep, hands-on expertise with RDF, OWL (OWL 2), RDFS, SKOS, SPARQL, and W3C semantic web standards.
• Proven experience designing and operating enterprise knowledge graphs and governed semantic assets.
• Hands-on experience with graph or triple-store technologies such as Neo4j, Amazon Neptune, or Spanner Graph.
• Experience integrating knowledge graphs with large language models, retrieval-augmented generation pipelines, vector stores, and agentic frameworks.
• Hands-on experience with AWS, GCP, and Snowflake.