
About this role
TSC is seeking a Senior Ontology Engineer to design, develop, and maintain ontological frameworks and knowledge graph solutions in support of defense mission engineering programs. The role combines deep expertise in formal ontology and semantic web technologies with hands-on experience in data integration and graph database systems.
Daily work involves building and deploying knowledge graph solutions that integrate structured and unstructured data sources across heterogeneous multi-domain defense systems. The engineer will apply upper-level ontology frameworks while designing graph-based AI solutions including LLM-integrated pipelines and RAG architectures.
This individual collaborates with software engineers, systems engineers, and mission-domain SMEs to translate operational requirements into scalable knowledge representations. Support extends to semantic integration efforts across legacy and modern system architectures using platforms such as Stardog, Neptune, and Neo4j.
The position includes leading technical writing for proposals that help the Navy adopt AI technologies. Responsibilities evolve to meet program needs and emerging technology trends while offering opportunities for professional growth in knowledge engineering.
Requirements
- Bachelor's degree or higher in Computer Science, Information Science, Knowledge Engineering, or a related discipline.
- Hands-on experience with knowledge graph technologies including RDF, SPARQL, SHACL, and OWL for DoD or enterprise use cases.
- Experience with schema design, ontology management, and knowledge graph curation.
- Experience designing and developing end-to-end knowledge graph and AI data pipelines including integration with LLMs.
- Familiarity with graph database platforms such as Stardog, Blazegraph, Neo4j, or Amazon Neptune.
- Ability to obtain and maintain a SECRET DoD Clearance.
Responsibilities
- Design, develop, and maintain formal ontologies using OWL, RDF/RDFS, and SPARQL aligned with DoD mission engineering requirements.
- Build and deploy knowledge graph solutions that integrate structured and unstructured data sources across heterogeneous defense systems.
- Apply and extend upper-level ontology frameworks ensuring alignment with DoD and IC data standards.
- Design and implement graph-based AI solutions including LLM-integrated pipelines, RAG architectures, and agentic workflows.
- Collaborate with engineers and mission-domain SMEs to translate operational requirements into actionable ontological models.
- Support semantic integration and data interoperability across legacy and modern architectures using graph databases such as Stardog, Neptune, and Neo4j.
- Lead development and writing of technical approaches for proposals related to Navy AI technology adoption.
Benefits
- Professional working environment
- Excellent benefits package
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