Senior AI Engineer (Neo4j / Knowledge Graphs) - Global Investment Bank

What You'll Be DoingDesign and develop enterprise Knowledge Graph solutions using Neo4jBuild GraphRAG and Retrieval-Augmented Generation (RAG) architectures for LLM-powered applicationsModel complex business, client, market, and operational data using graph technologiesIntegrate Neo4j with Generative AI platforms, vector databases, and large language modelsDevelop graph analytics, entity resolution, relationship mapping, and semantic search capabilitiesCollaborate with AI, Data Engineering, and Enterprise Architecture teams on strategic AI initiativesHelp define best practices, standards, and technical direction for graph-based AI solutions

What We're Looking ForStrong commercial experience with Neo4j and graph database technologiesExperience designing and implementing Knowledge Graph solutions at scaleUnderstanding of GraphRAG, RAG architectures, semantic search, or LLM-powered systemsStrong Python development skillsExperience working with cloud platforms and modern data architecturesKnowledge of machine learning, NLP, Generative AI, or AI engineering practicesExcellent stakeholder management and communication skills If you're passionate about Neo4j, Knowledge Graphs, GraphRAG, and enterprise AI, we'd love to hear from you.

Job DescriptionSenior AI Engineer (Neo4j / Knowledge Graphs) - Global Investment Bank A leading global investment bank is building a new AI Engineering function and is seeking an experienced Neo4j specialist to help shape the next generation of enterprise AI solutions. This is a rare opportunity to join a newly formed team focused on applying cutting-edge AI, Knowledge Graphs, and GraphRAG architectures to some of the most complex data and information challenges within financial services. Working alongside AI Engineers, Data Scientists, Architects, and senior business stakeholders, you will play a key role in designing and delivering graph-powered AI solutions that enable more accurate retrieval, reasoning, discovery, and decision-making across the organisation.