Data Platform
Ontology Engineer
Translate complex domains into durable object models, relationships, actions, and governance patterns.
Oklahoma City, OK / HybridFull-timeMid-SeniorU.S. Citizen / TS capable
Impact
- Help teams build shared language around operations.
- Make applications and AI workflows operate on meaningful domain concepts.
- Reduce ambiguity across data, product, and mission teams.
What you'll do
- Define object types, relationships, actions, permissions, and validation rules.
- Partner with users and engineers to model real-world workflows.
- Maintain ontology quality as products and operational needs evolve.
- Document domain assumptions, definitions, and governance decisions.
What we're looking for
- 4+ years of data modeling, systems analysis, product engineering, or domain modeling experience.
- Ability to convert complex workflows into clear structures and rules.
- Comfort working with stakeholders to resolve ambiguous definitions.
- U.S. Citizenship is required.
- Must be capable of obtaining and maintaining a Top Secret security clearance.
- Comfort working with ambiguous mission, data, and engineering problems.
- Strong written communication and ability to explain technical decisions to technical and non-technical teams.
Preferred experience
- AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services.
- AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
- Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.
Hiring note
Anautics evaluates candidates based on role-relevant skills, judgment, ownership, and ability to work in high-trust environments. AWS and AI experience are strong pluses across this hiring plan.