Enterprise Ontology Architect for AI & Knowledge Graphs

InterImage; Oregon; Hybrid; USD 130,000 - 173,000; Full time

Job summary

InterImage develops AI solutions for government customers, focusing on enterprise knowledge platforms, ontologies, knowledge graphs, and generative AI applications. As an Ontological Engineer, you will help shape the knowledge foundations behind enterprise AI systems.

This role is well suited to someone who enjoys bringing clarity to complex domains and creating formal models that enable people, data, and systems to work from a shared understanding.

Qualifications

• 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.
• 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.
• 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 and data integration.

Skills

Ontology design

Knowledge graphs

Domain modeling

Stakeholder communication

Graph RAG

LLM applications

Education

Bachelor’s degree in CS/IT/Math

Tools

OWL

RDF

SPARQL

SHACL

Job description

InterImage develops AI solutions for government customers, focusing on enterprise knowledge platforms, ontologies, knowledge graphs, and generative AI applications. As an Ontological Engineer, you will help shape the knowledge foundations behind enterprise AI systems.

This role is well suited to someone who enjoys bringing clarity to complex domains and creating formal models that enable people, data, and systems to work from a shared understanding.