Job Description
Role = Ontology Consultant
Duration = Initial 6-month contract
Location = UK (Remote)
Job Spec
Key Responsibilities
* Ontology Development and Knowledge Engineering
* Design, 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 Expertise
* Work 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 Application
* Apply 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.
Skills
Required Skills and Qualifications
* Strong 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 Qualifications
* Experience 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.