Senior Knowledge Graph Architect — AI & Ontologies

EcoVadis Inc; Barcelona; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work 4 days/mo in-office

Wellness allowance

Meal vouchers

Private health insurance

Descripción de la vacante

EcoVadis in Barcelona invites a Senior Knowledge Representation and Knowledge Graph Expert to join our AI Center of Excellence. You will apply AI and ML to advance enterprise knowledge graphs, semantic interoperability, and SHACL governance across sustainability data.

You will collaborate with data, methodology and product teams to build robust ontologies, integrate global vocabularies, and enable reliable LLM grounding with RAG pipelines and graph databases.

Formación

• Advanced degree or equivalent practical experience in a related field.
• Proficiency with semantic web standards (RDF/OWL/SPARQL) and graph databases (Neo4j/Cypher).
• Experience designing, building, and deploying enterprise knowledge graphs.
• Experience with global vocabularies (SKOS/PROV-O/DCAT) and third‑party registry integrations.
• Experience integrating knowledge graphs into LLM‑driven architectures and RAG pipelines.

Responsabilidades

• Ontology engineering for end-to-end supply chain models.
• Enterprise semantic federation across sources.
• SHACL validation shapes for autonomous AI agents.
• GraphRAG integration linking graph databases with vector stores.
• Entity resolution and data harmonization pipelines.

Conocimientos

RDF/OWL/SPARQL

SHACL

Knowledge Graphs

Python

LLM integration

Data modeling

Educación

Advanced degree in Computer Science / Information Science / Computational Linguistics

Herramientas

Neo4j

Cypher

RDFLib

JSON-LD

Descripción del empleo

EcoVadis in Barcelona invites a Senior Knowledge Representation and Knowledge Graph Expert to join our AI Center of Excellence. You will apply AI and ML to advance enterprise knowledge graphs, semantic interoperability, and SHACL governance across sustainability data.

You will collaborate with data, methodology and product teams to build robust ontologies, integrate global vocabularies, and enable reliable LLM grounding with RAG pipelines and graph databases.