Senior Knowledge & AI Architect

📋 Description

• Ontology engineering to model supply chain entities and sustainability boundaries.
• Enterprise semantic federation: harmonize internal data with open ontologies.
• SHACL-based deterministic AI guardrails to ensure safe actions.
• GraphRAG integration linking graph databases with vector stores for LLM grounding.
• Entity resolution pipelines to connect fragmented data streams.

🎯 Requirements

• Advanced degree or equivalent practical industry experience.
• RDF/OWL/SPARQL/Turtle/SHACL and Neo4j/Cypher.
• Experience deploying enterprise knowledge graphs.
• Experience with SKOS, PROV-O, DCAT and third-party vocabularies.
• Experience integrating knowledge graphs into LLM architectures, LangGraph, AutoGen, and RAG.
• Python for graph data (RDFLib, JSON-LD) and ETL pipelines.

🎁 Benefits

• Flexible working hours
• Wellness and mental health support
• Learning and development opportunities
• Hybrid work with remote-from-abroad policy
• Private health and dental insurance
• Paid volunteer/community service day