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# Senior Knowledge & AI Architect

- **Company:** Ecovadis Sas
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computational Linguistics, Databases, Extract Transform Load (ETL), Graph Database, Information Sciences, JSON, Python (Programming Language), Neo4j, Open Source Technology, Software Safety, Search Technologies, Semantic Web, SPARQL, Data Streaming, Systems Integration, Data Processing, Large Language Models, Multi-Agent Systems, Information Technology
- **Published:** July 22, 2026
- **Apply:** https://jobs.smartrecruiters.com/ecovadis/744000138789229-senior-knowledge-ai-architect

## About the Role

* Education & Experience: Advanced degree in Computer Science, Information Science, Computational Linguistics, or a related field-or equivalent practical industry experience.
 * Graph Technologies: Demonstrated hands-on proficiency with semantic web standards (RDF, OWL, SPARQL, Turtle, and SHACL) and property graphs (e.g., Neo4j, Cypher).
 * Enterprise Implementation: Applied industry experience designing, building, and deploying enterprise knowledge graphs.
 * External Vocabularies & Registries: Experience working with global vocabularies (e.g., SKOS, PROV-O, DCAT) and integrating third-party registries (such as emissions databases, legal entity registries, or climate/weather API feeds) into a cohesive knowledge base.
 * Modern AI Architectures: Proven background integrating Knowledge Graphs into LLM-driven architectures, multi-agent frameworks (e.g., LangGraph, AutoGen), and RAG pipelines.
 * Python Proficiency: Strong skills in Python for graph data manipulation (e.g., RDFLib, JSON-LD) and constructing ETL data pipelines into graph stores.

What We Are Looking For

 * Strong communication, critical thinking, and analytical skills, with a demonstrated ability to explain complex technical concepts to cross-functional partners.
 * A collaborative mindset and comfort working across global, cross-functional teams.
 * A passion for solving complex semantic data challenges and advancing enterprise AI safety.

## 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., Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!


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