Responsible for the semantic architecture, design, and implementation of enterprise knowledge graphs and ontological models that transform unstructured data into interconnected, machine-readable intelligence.
- Engineer domain-specific ontologies, taxonomies, and controlled vocabularies using modern semantic web standards (OWL, RDF, and SHACL).
- Design semantic schemas that enable cross-system interoperability, advanced inference, and robust metadata management.
- Collaborate with data scientists, software engineers, and AI architects to integrate semantic frameworks with enterprise graph databases (GraphDB, Neo4j).
- Integrate semantic frameworks with modern AI pipelines including Retrieval-Augmented Generation (RAG) and vector search structures.
- Establish strict data governance, validation workflows, and data harmonization pipelines.
- Bachelor's degree in Computer Science
- Information Technology
- Engineering
- related technical discipline
