Ontological Engineer: Enterprise Knowledge Graphs & AI

InterImage; United States; Remote; USD 130,000 - 173,000; Full time

Job summary

InterImage develops AI solutions for government customers and seeks an Ontological Engineer to shape the knowledge foundations behind enterprise AI systems. You will create formal models that enable people, data, and systems to work from a shared understanding.

Responsibilities include defining domain concepts, standardizing vocabularies, building OWL/RDF knowledge models, and ensuring safe, scalable AI with Graph RAG and LLMs. U.S.

Qualifications

• Define domain concepts, entities, categories, attributes, and relationships in formal ontologies.
• Standardize vocabularies to establish shared business or scientific meaning across systems and departments.
• 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, reduce hallucinations, and integrate heterogeneous data.
• Degree in computer science, information technology, cyber, mathematics, or a related field.
• Experience designing enterprise ontologies and controlled vocabularies, including hands-on work building upper ontology frameworks or domain-specific ontology frameworks.
• Experience building AI systems from scratch and helping shape prototype applications.
• 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 and departments.
• 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, reduce hallucinations, and integrate heterogeneous data.
• Degree in computer science, information technology, cyber, mathematics, or a related field.
• Experience designing enterprise ontologies and controlled vocabularies, including hands-on work building upper ontology frameworks or domain-specific ontology frameworks.
• Experience building AI systems from scratch and helping shape 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.

Skills

Ontology design

Formal modeling

Knowledge graphs

Graph RAG

LLM integration

Stakeholder communication

AI systems from scratch

OWL/RDF/SPARQL/SHACL

enterprise data collaboration

Education

CS/IT/Math degree

Tools

OWL, RDF, SPARQL, SHACL

Job description

InterImage develops AI solutions for government customers and seeks an Ontological Engineer to shape the knowledge foundations behind enterprise AI systems. You will create formal models that enable people, data, and systems to work from a shared understanding.

Responsibilities include defining domain concepts, standardizing vocabularies, building OWL/RDF knowledge models, and ensuring safe, scalable AI with Graph RAG and LLMs. U.S.