DeepRec.ai
AI Knowledge Graph Lead
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AI Knowledge Graph Lead
AI Knowledge Graph Lead
Remote Salary: up to £150,000 base
We’re partnering with an AI-driven technology company seeking a senior AI Knowledge Graph/Ontology Lead to design and scale a knowledge graph infrastructure supporting next-generation intelligent enterprise solutions.
This hands-on leadership role demands real-world experience in building and deploying production-grade knowledge graphs—not just theoretical ontology work. You’ll architect, develop, and oversee a graph and ontology platform enabling:
- AI retrieval and RAG workflows
- Entity linkage and reasoning systems
- Cross-domain and temporal knowledge modelling
- Regulatory and compliance intelligence products
- Agentic AI applications
The position blends architecture, software engineering, and team leadership. Collaborating with AI/ML engineers, you’ll transform complex, unstructured data into structured, actionable intelligence—seamlessly integrated into live AI systems.
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Key Responsibilities
- Define and refine knowledge graph architecture to support AI capabilities
- Develop and validate ontology/taxonomy models for real-world use cases
- Lead engineering efforts to implement graph databases, semantic structures, and knowledge hierarchies
- Collaborate with data scientists and LLM teams to integrate retrieval-augmented generation (RAG)
- Optimise performance, scalability, and queryable intelligence in production systems
- Apply expertise to areas like regulatory compliance, ESG, or healthcare as required
Critical Experience
- Deep expertise in Neo4j and Cypher, with proven production experience
- Strong background in ontology/taxonomy design and semantic modelling
- Proficiency in Python for graph and AI integration tasks
- Experience integrating knowledge graphs with LLMs, RAG pipelines, or vector search
- Ability to balance formal semantics with pragmatic engineering trade-offs
- Hands-on leadership with a genuine passion for "writing the code"
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추가 예정:
- RDF/OWL knowledge or work with inference engines (e.g., SPARQL, reasoning systems)
- Experience in entity resolution, legal/regulatory domain mapping, or specialised fields (e.g., pharmaceuticals, healthcare)
- Familiarity with temporal or cross-domain knowledge linking
Why Join Us
- Work in a cutting-edge AI environment driving industry-changing Enterprise AI
- Significant architectural influence and product impact at scale
- Fast-paced decision-making with direct access to executive leadership
- Fosters AI-assisted development tooling for streamlined work
- Flexible remote work and highly competitive compensation
- Ideal for technical innovators passionate about building the intelligence layer behind intelligent systems
Apply now for more details and take the next step in shaping the future of AI-driven enterprise solutions.
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