Senior Knowledge Graph & AI Architect

EcoVadis SAS; Barcelona; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Wellness allowance

Private Health Insurance

Learning and development

Remote work from abroad policy

Meals and Transportation vouchers

Summer hours

Hybrid monthly allowance

Employee resource groups

Job summary

EcoVadis SAS seeks a Senior Knowledge Representation and Knowledge Graph Expert to drive AI-centered innovation. You will model end-to-end supply chain ontologies, harmonize data across sources, and implement SHACL-powered validations for safe autonomous AI actions.

You will collaborate with AI/ML teams to connect graph databases with vector stores, enabling robust LLM grounding and multi‑hop retrieval, while ensuring data quality through entity resolution.

Qualifications

• 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: 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: Experience integrating Knowledge Graphs into LLM-driven architectures, multi-agent frameworks, and RAG pipelines.
• Python Proficiency: Strong skills in Python for graph data manipulation (RDFLib, JSON-LD).

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 harmonizing internal sources with external ontologies and registries.
• Deterministic AI Guardrails (SHACL): Develop SHACL validation shapes to ensure autonomous AI agents execute transactions safely and within regulatory parameters.
• GraphRAG Integration: Collaborate to link graph databases with vector stores for high-performance semantic retrieval and LLM grounding.
• Entity Resolution: Build pipelines to clean, resolve, and connect fragmented data streams.

Skills

Semantic web standards

Ontology engineering

RDF/OWL/SPARQL

SHACL

Graph databases

Knowledge graphs

Python for graph data

LLM grounding

Education

Advanced degree in Computer Science or related field

Tools

Neo4j

Cypher

RDFLib

JSON-LD

Job description

EcoVadis SAS seeks a Senior Knowledge Representation and Knowledge Graph Expert to drive AI-centered innovation. You will model end-to-end supply chain ontologies, harmonize data across sources, and implement SHACL-powered validations for safe autonomous AI actions.

You will collaborate with AI/ML teams to connect graph databases with vector stores, enabling robust LLM grounding and multi‑hop retrieval, while ensuring data quality through entity resolution.