Ontological Engineer

InterImage

. Define domain concepts, entities, categories, attributes, and relationships in formal ontologies .

Posted 10/23/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $129,813 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and standardizing ontologies and vocabularies to enhance enterprise AI and knowledge graph applications. Proficient in building machine-readable knowledge models and collaborating with diverse teams to translate complex concepts for various stakeholders.

Highest-signal resume keywords

Ontology DesignOWL ProficiencyRDF ProficiencySPARQL ProficiencyKnowledge Graph Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Ontology Framework DevelopmentControlled Vocabulary DesignAI System DevelopmentMachine-Readable Knowledge ModelsGraph RAG KnowledgeLLM Application Knowledge

Soft Skills

CollaborationStakeholder Communication

Certifications & Qualifications

Active Security Clearance

Industry Keywords

Enterprise AIKnowledge GraphsFormal OntologiesData IntegrationGovernment Customers

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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 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

Benefits

Comp & perks

Identity verification process during hiring
Virtual interviews require camera use
Data collection, processing, and use for identity verification and security purposes