Why This Role Stands Out
This remote Senior Ontology Engineer role offers a competitive salary and the opportunity to build a foundational knowledge graph for a critical AI platform, directly impacting real users. You'll thrive here if you possess strong semantic technology skills, full-stack development experience, and an active US security clearance, eager to contribute to innovative AI solutions. Apply to join a fast-moving team delivering tangible results every sprint.
Quick Overview
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.
Similar jobs
- CO
Staff AI Engineer
NewCapital One
Mc Lean, Virginia🇺🇸$269.1k - $307.2k/yrHybrid7 minutes agoScalaAWSMachine Learning+9Technology - CO
Staff AI Engineer (Remote Eligible)
NewCapital One
New York🇺🇸$244.7k - $279.2k/yrRemote7 minutes agoScalaAWSMachine Learning+11Technology - IT
AI Business Lead
NewISite Technologies Inc
Baltimore, MD🇺🇸Hybrid19 hours agoTableauAgileBusiness Analysis+4 - VT
Enterprise GenAI Architect
NewVirtual Tech Gurus Inc
United States🇺🇸Hybrid19 hours agoDockerMicroservicesAWS+7Technology - TE
GenAI Engineer - Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC
NewTechniPros, LLC
Orlando, FL🇺🇸Hybrid19 hours agoMicroservicesAWSScrum+4Technology - TE
Agentic AI Engineer - Durham, NC, Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC.
NewTechniPros, LLC
Durham, NC🇺🇸Hybrid19 hours agoDockerMicroservicesMachine Learning+5Technology