Senior Knowledge Graph & AI Architect

EcoVadis; Barcelona; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Wellness allowance

Private health insurance

Meal and transportation vouchers

Descripción de la vacante

EcoVadis is seeking a Senior Knowledge Representation and Knowledge Graph Expert to drive innovation at the AI Center of Excellence. You will work at the intersection of symbolic AI and probabilistic AI, ensuring structured data and disclosures are agent-ready and compliant.

You will collaborate with methodology, data, and product teams to design ontologies, federation layers, and SHACL guardrails, enabling scalable, secure enterprise AI solutions across the organization.

Formación

• Education & Experience: Advanced degree in Computer Science, Information Science, Computational Linguistics, or a related field—or equivalent practical industry experience.
• Graph Technologies: Proficiency with semantic web standards (RDF, OWL, SPARQL, Turtle, SHACL) and property graphs (Neo4j, Cypher).
• Enterprise Implementation: Applied experience designing, building, and deploying enterprise knowledge graphs.
• External Vocabularies & Registries: Experience with global vocabularies (SKOS, PROV‑O, DCAT) and integrating third‑party registries into a knowledge base.
• Modern AI Architectures: Background integrating Knowledge Graphs into LLM-driven architectures, multi-agent frameworks, and RAG pipelines.
• Python Proficiency: Strong Python skills for graph data manipulation (RDFLib, JSON‑LD) and ETL pipelines.

Responsabilidades

• Ontology Engineering: Author and maintain core domain ontologies modeling supply chain entities, footprints, and boundaries.
• Enterprise Semantic Federation: Build an integration layer harmonizing internal sources with global ontologies and registries.
• Deterministic AI Guardrails (SHACL): Develop SHACL shapes to ensure safe AI agent transactions and schema updates.
• GraphRAG Integration: Link graph databases with vector stores for high-performance semantic retrieval.
• Entity Resolution: Implement robust linking and harmonization pipelines to connect fragmented data streams.

Conocimientos

Semantic Web

RDF/OWL/SPARQL

Knowledge Graphs

Python

LLM Integration

Multi-Agent AI

Educación

Advanced degree in CS/IS

Equivalent experience

Herramientas

Neo4j

SHACL

RDFLib

Descripción del empleo

EcoVadis is seeking a Senior Knowledge Representation and Knowledge Graph Expert to drive innovation at the AI Center of Excellence. You will work at the intersection of symbolic AI and probabilistic AI, ensuring structured data and disclosures are agent-ready and compliant.

You will collaborate with methodology, data, and product teams to design ontologies, federation layers, and SHACL guardrails, enabling scalable, secure enterprise AI solutions across the organization.