Senior Ontology Engineer

InterImage, Inc.; Arlington (VA); Hybrid; USD 175,000 - 228,000; Full time

Job summary

PixelRain AI is a small, fast-moving AI company delivering an AI-powered product-lifecycle knowledge platform for a U.S. Department of War customer: governed ingestion of technical documents, an enterprise ontology and knowledge graph, and generative AI apps that draft maintenance plans and answer engineering questions with citations—running in the customer's cloud environment with an offline variant for disconnected use.

Small team, real users, working software demonstrated every sprint.

Qualifications

• 5+ years of hands-on semantic-technology work: OWL, RDF/Turtle, SHACL, SPARQL.
• Experience building ontologies aligned to an upper ontology — BFO and CCO strongly preferred.
• Production experience with a triple store (Apache Jena/Fuseki, RDF4J, or similar).
• Solid general software engineering: Python, APIs, Git — able to handle full-stack tasks.
• Working familiarity with LLMs and RAG — connected structured knowledge to generative apps.

Responsibilities

• Design, build, and maintain the enterprise ontology and vocabularies and map source data into them.
• Build and manage the knowledge graph: RDF store, SHACL validation, SPARQL queries.
• Ingest content with provenance and connect the graph to retrieval and GenAI apps.
• Carry full-stack development work alongside ontology work — Python services, web UI, AWS.
• Work in a small Scrum team; demo working software every sprint.

Skills

Ontology design

Semantic technologies

Python

Full-stack development

AWS

LLMs / RAG

SPARQL

Git

Tools

Apache Jena/Fuseki

RDF4J

Job description

PixelRain AI is a small, fast-moving AI company delivering an AI-powered product-lifecycle knowledge platform for a U.S. Department of War (DoW) customer: governed ingestion of technical documents, an enterprise ontology and knowledge graph, and generative-AI applications that draft maintenance-planning products and answer engineering questions with citations — running in the customer's cloud environment, with an offline variant for disconnected use. Small team, real users, working software demonstrated every sprint.

Salary: 175,000 - 228,000

Active US Security Clearance Required

What you'll do

• Design, build, and maintain the enterprise ontology (BFO/CCO-aligned) and controlled vocabularies, and map source-system data into them.
• Build and manage the knowledge graph: RDF triple store (Apache Jena/Fuseki or similar), SHACL validation, SPARQL queries.
• Build the governed ingestion path so extracted content lands in the graph with provenance and confidence, and connect the graph to retrieval and GenAI applications.
• Carry normal full-stack development work alongside the ontology work — Python services, web UI, AWS.
• Work in a small Scrum team; demo working software every sprint.

• Active Secret OR Top Secret Clearance Required
• 5+ years of hands-on semantic-technology work: OWL, RDF/Turtle, SHACL, and SPARQL.
• Experience building ontologies aligned to an upper ontology — BFO and CCO strongly preferred.
• Production experience with a triple store (Apache Jena/Fuseki, RDF4J, or similar).
• Solid general software engineering: Python, APIs, Git — able to handle full-stack tasks (web + AWS), not ontology-only.
• Working familiarity with LLMs and RAG — you’ve connected structured knowledge to generative applications.