Senior Knowledge & AI Architect
EcoVadis Inc
| Company | EcoVadis Inc |
| Category | Data & Analytics |
| Location | Barcelona |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 21 Jul 2026 |
| Last verified | 11 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Job Description
We are seeking a Senior Knowledge Representation and Knowledge Graph Expert to join our AI Center of Excellence. In this role, you will use AI and machine learning to drive innovation across the organization, working at the intersection of classical symbolic AI (Knowledge Graphs, Ontologies, SHACL) and modern probabilistic AI (LLM grounding, Vector Search, Multi-Agent Orchestration).
Your primary mandate is to ensure our structured enterprise data and unstructured sustainability disclosures are completely agent-ready. You will collaborate closely with methodology, data, and product teams across the organization.
Key Responsibilities
• Ontology Engineering: Author and maintain core domain ontologies that model end-to-end supply chain entities, operational footprints, and sustainability boundaries.
• Enterprise Semantic Federation: Architect and maintain the integration layer that harmonizes proprietary internal knowledge sources with global, open-source ontologies and public registries.
• Deterministic AI Guardrails (SHACL): Develop and write SHACL (Shapes Constraint Language) validation shapes to ensure autonomous AI agents execute transactions, sign contracts, or update schemas safely and within regulatory parameters.
• GraphRAG Integration: Collaborate with AI/ML Engineers, Enterprise Architects, and Data Engineers to link graph databases with vector stores, enabling high-performance, multi-hop semantic retrieval for LLM grounding.
• Entity Resolution: Implement robust entity linking and harmonization pipelines to clean, resolve, and connect fragmented data streams.