Knowledge Engineer

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. You’ll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes. You’ll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation. Our culture emphasizes continuous learning, open knowledge…