AI Tech Lead - GraphAware Hume

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.