Senior Knowledge & AI Architect
Core
Architecting enterprise knowledge graphs and ontologies to make structured and unstructured sustainability data agent-ready for AI systems.
Role type
Senior Knowledge & AI Architect (Knowledge Graphs & Ontologies)
Builds
Agent-ready knowledge bases integrating supply chain, operational, and sustainability data for EcoVadis clients.
Domain
Sustainability technology / Enterprise AI / Semantic Web
Deliverable
production ML models | product features
Required skills
Ontology Engineering, Semantic Web Standards (RDF, OWL, SPARQL, SHACL), Graph Databases (Neo4j), LLM Grounding & RAG, Entity Resolution, Python (RDFLib, JSON-LD), ETL Pipelines, External Vocabularies Integration, Multi-Agent Frameworks (LangGraph, AutoGen)
Preferred skills
Advanced degree in CS/Info Science/Computational Linguistics, Experience with global registries (SKOS, PROV-O, DCAT), Hands-on proficiency in graph technologies
Technologies
Neo4j, Cypher, RDFLib, JSON-LD, LangGraph, AutoGen, SHACL, SPARQL, Turtle
Responsibilities
Author and maintain core domain ontologies for supply chain and sustainability entities; Architect integration layers harmonizing internal sources with global ontologies; Develop SHACL validation shapes for AI agent safety; Collaborate on GraphRAG integration linking graph databases with vector stores; Implement entity resolution pipelines for fragmented data streams
Seniority
Senior, hands-on IC