Senior Knowledge & AI Architect
Role details
Job location
Tech stack
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., 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!
Requirements
- 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.
Benefits & conditions
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