Company Description
Work smart, have fun and make an impact!
Our purpose is to guide all companies toward a sustainable world. EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.
Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution.
Learn more about our team and culture on EcoVadis careers page.
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.
Qualifications
- 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.
Additional Information
- Location: Barcelona
- Hybrid: 4 days in office per month
In return for your expertise, we offer:
- Support with all the necessary office and IT equipment
- Flexible working hours
- Wellness allowance for mental and physical wellbeing
- Access to professional mental health support
- Referral bonus policy
- Learning and development
- Sustainability events and community involvement
- Peer recognition program
- Employee-led resource groups
- Hybrid work organization
- Remote work from abroad policy
- Meals and Transportation Vouchers (Coverflex card)
- Dental Benefits
- Life & Accident Insurance + Private Health Insurance
- Paid employee volunteer day
- Paid moving day (1/year)
- Time off: 1 Community Service Day + 1 Personal Day
- Summer Hours in July and August (36 hours per week)
- Hybrid Monthly Allowance for electricity and Internet
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!
Don’t meet all criteria? Please apply anyway. We welcome diverse candidates and want to assess your skills and potential contribution to EcoVadis, regardless of your background.
Can the hiring process be adjusted to suit my needs? Yes. We want all candidates, including people with disabilities, people with long-term health conditions, and neurodiverse applicants, to feel confident demonstrating their potential. If you require adjustments, such as interview questions in advance, please inform the hiring team.
Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on characteristics such as color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. To reduce bias in hiring, applicants are encouraged to remove personal details such as photos, marital/parental status, religion, gender, postal code, university name/graduation date, past leave details, and nationality (instead, confirm eligibility to work in the job location).
Our recruitment processes do not include AI systems that make autonomous decisions impacting individuals’ rights without human oversight. Inputs and outputs of the system have been validated by humans and answers are based on algorithms that analyze previous data with which the system has been trained. We use SmartRecruiters as our applicant tracking system and to schedule interviews. Gemini is used to summarize notes from interviews and to refine job descriptions and social media messaging. AssessFirst is used to support talent assessment decisions.