Ontology Engineer

Translate complex domains into durable object models, relationships, actions, and governance patterns.

• 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.

• 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.

• 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.

• AWS experience is a plus, especially secure cloud, Gov Cloud, 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.

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.