• Develop and maintain enterprise-grade ontologies (OWL/RDF) that model the complex domain of aerospace engineering, manufacturing, and supply chain. • Define the semantic schema for AI Agents, ensuring they share a common vocabulary when communicating across different business units. • Lead the architecture and deployment of our Enterprise Knowledge Graph. • Build data pipelines (Python) to ingest data from legacy ERP systems, PLM software, and unstructured documents into the graph. • Implement Entity Resolution and linking strategies to unify disparate data points across the organization. • Collaborate with AI Engineers to design "Context Windows" for LLMs. • Work on Causal Inference models: Structure data to help agents distinguish between correlation and causation. • Establish semantic standards and data governance policies for the AI ecosystem.