Ontological Engineer

🕒 October 23

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $129.8k - $172.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 1%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InterImage

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51 - 200 employees

Founded 1996

🏛️ Government

🤖 Artificial Intelligence

🔒 Cybersecurity

Government • Artificial Intelligence • Cybersecurity

InterImage is a US-based IT modernization and systems-integration firm that delivers intelligent automation and mission-focused technology services to government and commercial clients. The company specializes in GenAI/AI & ML, Robotic Process Automation (RPA), agile software development, data analytics, systems engineering and integration, cybersecurity, and cloud services. InterImage holds government contract vehicles (GSA MAS, SeaPort-NxG, ITES-3S) and targets defense, law enforcement, transportation, civilian, and commercial customers to modernize IT, automate routine processes, and improve operational productivity.

📋 Description

• 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

• 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

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

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