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neo4j
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Remote: EMEA
Posted August 25, 2026 · 7 days ago · Last seen September 1, 2026 · Est. expiry September 29, 2026

AI Tech Lead

AI Tech Lead - GraphAware Hume
About the role

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role: We are aiming to hire someone in the the UK, Czechia or Italy.We are looking for a visionary and hands-on Tech Lead for AI to shape and build the artificial intelligence capabilities of Hume, our connected data analytics platform, from the ground up. The initial focus will be Hume Maestro, our core AI component. You will be the architect and the builder, designing the foundations of our AI layer while actively contributing to its development. You will translate product vision into sound technical decisions, ensuring high-quality delivery within a collaborative, shared decision-making framework. Key responsibilities Architectural Leadership: Design the foundations and technical roadmap of the AI layer within the Hume platform, specifically focusing on Hume Maestro. Hands-on Engineering: Actively contribute to the codebase, setting the standard for technical excellence, performance, and scalability in our AI components. Collaborative Governance: Work within a shared decision-making structure alongside Product Managers and our Chief Scientist to align technical execution with product vision and priorities. Cross-Functional Integration: Partner with the broader Hume team (including front-end and platform engineers) to ensure seamless integration of AI capabilities into the user experience. Technical Quality: Drive best practices in AI/ML engineering, including model evaluation, deployment pipelines, and maintainable code structures. Future Team Building: As the AI function expands, you will have the opportunity to transition from an individual contributor/lead role into building and mentoring a dedicated AI engineering team. What you need to bring Experience: A proven track record as a Senior or Lead Engineer with deep expertise in Artificial Intelligence and Machine Learning. Technical Depth: Strong experience in designing and deploying AI architectures, with a focus on LLMs, graph-based AI, or complex data processing layers. Strategic Thinking: Ability to bridge the gap between high-level research/vision and production-ready engineering. Collaborative Mindset: Experience working closely with Product and Science stakeholders to balance technical debt, innovation, and delivery speed. Leadership Potential: A desire to eventually lead and inspire a team, with the communication skills necessary to coordinate complex technical projects. Background: Experience in B2B SaaS or high-growth deep-tech environments is highly preferred. Why Join Neo4j? Neo4j is the graph intelligence platform. We look forward to receiving your application.

Job Details

Responsibilities

  • Architectural Leadership: design foundations and roadmap for the AI layer
  • Hands-on Engineering: contribute to codebase and set high standards
  • Collaborative Governance: align with Product Managers and Chief Scientist
  • Cross-Functional Integration: collaborate with front-end and platform engineers
  • Technical Quality: drive best practices in AI/ML engineering
  • Future Team Building: potential to mentor an AI team

Requirements

  • Proven track record as a Senior or Lead Engineer in AI/ML
  • Deep expertise in AI architectures, LLMs, graph-based AI or complex data processing
  • Ability to bridge research vision and production-grade engineering
  • Collaborative with Product and Science stakeholders
  • Background in B2B SaaS or high-growth deep-tech is preferred

Skills & Technologies

AI/MLLLMsGraph-based AIDeployment pipelinesModel evaluationSoftware engineering
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