Job Title

Role = Ontology ConsultantDuration = Initial 6-month contractLocation = UK (Remote)Job SpecKey ResponsibilitiesOntology Development and Knowledge EngineeringDesign, build, and maintain ontologies to support data integration and semantic reasoning.Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions.Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI applications, including RAG pipelines and Agent Orchestration.Graph Database ExpertiseWork with both Semantic Graph and Property Graph technologies, understanding their unique architectures and use cases.Utilize Semantic Graph tools for rule-based inference and semantic reasoning.Employ Property Graph tools like Neo4j, Amazon Neptune, and TigerGraph for network analytics and data exploration.Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning.Network Science ApplicationApply network science techniques to analyze and interpret complex relationships within graph data.Develop algorithms and models to extract insights from graph structures and relationships.Use network insights to enhance AI systems’ ability to reason across interconnected data sets.SkillsRequired Skills and QualificationsStrong expertise in ontologies, including their design, implementation, and application in real-world scenarios.Proficiency in graph database technologies, with hands-on experience in both Semantic Graph and Property Graph systems.Solid understanding of network science concepts and their practical applications in graph engineering.Familiarity with standards such as RDF and W3C for Semantic Graphs, as well as bespoke standards for Property Graphs.Ability to mentor and train junior team members, fostering a culture of learning and growth.Experience integrating AI considerations (like LLM-based retrieval, RAG pipelines, and Agent Orchestration) into graph ecosystem design.Preferred QualificationsExperience with data pipelines and integrating graph databases into larger data ecosystems.Knowledge of rule-based inference systems and network analytics tools.Strong problem-solving skills and the ability to work independently on complex technical challenges.Prior exposure to enterprise AI initiatives, demonstrating an understanding of how knowledge graphs support agent-based architectures.