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Neo4j

AI Tech Lead - GraphAware Hume

United Kingdom
Posted 1 day ago
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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 UK, Czechia or Italy.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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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.
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Skills

Artificial Intelligence
Machine Learning
LLMs
Graph-based AI
AI Architecture
Software Engineering
Technical Leadership
B2B SaaS
Model Evaluation
Deployment Pipelines
Scalability
Data Processing

Location

United Kingdom

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