Ontological Engineer for Enterprise AI & Knowledge Graphs

InterImage, Inc.

Virginia

On-site

USD 130,000 - 173,000

Full time

5 days ago

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Job summary

InterImage, Inc. seeks an Ontological Engineer to shape the knowledge foundations behind enterprise AI systems used by government customers.

This role involves defining domain concepts, standardizing vocabularies, and building machine-readable models using OWL, RDF, SPARQL, and SHACL to enable safer reasoning and effective data integration. You will work with cross-functional teams, translate ontology decisions for technical and non-technical stakeholders, and contribute to Graph RAG and LLM

Qualifications

Degree in computer science, information technology, cyber, mathematics, or a related field.
Experience designing enterprise ontologies and controlled vocabularies.
Experience building AI systems from scratch and shaping prototype applications.
Proficiency with OWL, RDF, SPARQL, and SHACL standards.
Knowledge of knowledge graphs, Graph RAG, and LLM applications.
Experience collaborating with enterprise data or AI teams and translating ontology decisions for both technical and non-technical stakeholders.
U.S. citizenship and eligibility to work in the United States are required.
Experience working with government customers is a plus.
An active security clearance is a plus.

Responsibilities

Define domain concepts, entities, categories, attributes, and relationships in formal ontologies.
Standardize vocabularies to establish shared meaning across systems.
Build and maintain machine-readable knowledge models using OWL, RDF, SPARQL, and SHACL.
Provide structured context and guardrails for enterprise AI, knowledge graphs, Graph RAG, and LLM applications to improve reasoning and data integration.