Knowledge Engineer

About this role

Design and Build Enterprise Ontologies & Knowledge Graphs: Develop entity hierarchies, relationship types, and inference rules that allow AI systems to reason correctly across commercial data domains. Formalize Knowledge Representations: Translate business definitions and data models into machine-readable representations (e.g., OWL, RDF), ensuring consistency, reusability, and scalability. Capture Domain Logic: Work with business subject matter experts to elicit, capture, and formalize domain knowledge and business logic into structured ontologies and taxonomies.

Maintain Clear Semantic Boundaries: Collaborate with data modelers and semantic engineers to maintain well-defined boundaries between the ontology, the semantic data model, and the knowledge graph. Ensure Standards and Governance: Align knowledge assets with internal standards and semantic web best practices and contribute to governance guidelines for ontology and knowledge graph development. Enable AI and Analytics Use Cases: Ensure knowledge structures support a broad range of downstream consumers including conversational analytics, AI agents, and cross-domain reasoning rather than a single use case.

Experience & Expertise: 3-5 years in engineering, semantic modeling, or information/knowledge management. Proficiency in ontology and taxonomy modeling and formal representation languages (e.g., RDF, OWL, SKOS), with hands-on experience building enterprise ontologies and knowledge graphs (e.g., Stardog, AWS Neptune) Business Translation: Ability to work with SMEs to capture domain logic and turn business definitions into clear, machine-readable structures Strategic Skills: Strong communication, problem-solving and stakeholder management, focused on reuse and scalability across use cases Technical Understanding: Practical experience working with graph databases and knowledge graph platforms (e.g., Stardog, AWS Neptune, or similar), including querying with SPARQL Ways of Working: Ability to work independently and take ownership and accountability on assigned tasks driving execution through completion while being part of a collaborative team Industry Knowledge: Deep understanding of regulatory requirements, data governance practices, and industry trends Language: Strong communication skills in English (spoken and written), be an effective, passionate, trusted advocate and communicator for knowledge graph and Semantic Web technologies WHY YOU SHOULD JOIN FUSION: At Fusion, you’ll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry.