Ontologies & Knowledge Graphs (Agentic AI, Surrogates, Physical AI)
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Job Description
Structured overview of role & requirementsAbout This Role
Define and maintain ontology schemas that describe product capabilities, entities, and relationships across 2–3 simulation products.
Build and maintain knowledge graphs over product documentation, APIs, and simulation data to enable AI accessibility.
Develop structured, typed interfaces and tool connectors that allow AI agents to discover, invoke, and interact with product capabilities via APIs and simulation workflows.
Minimum Requirements
6+ years of relevant work experience.
Strong proficiency in Python and experience building and consuming REST APIs.
Familiarity with graph databases and ontology/semantic modeling languages (e.g., RDF, OWL, property graphs).
Experience with at least one AI agent framework such as LangChain, LangGraph, AutoGen, or CrewAI.
Ideal Candidate Profile
Demonstrates systems thinking by decomposing complex legacy simulation workflows into discrete, callable operations for AI usage.
Comfortable working within unfamiliar or undocumented codebases and translating domain-specific workflows into structured programmatic interfaces.
Understands how large language models (LLMs) consume context and call external tools, facilitating effective AI integration.