UX / UI Product Designer
Role details
Job location
Tech stack
Job description
GenAI | Agentic AI | Machine Learning | Python | PyTorch | AI Strategy | LLMs | RAG | MLOps | Leadership | Do you want to lead AI at the core of a truly AI-native business building the next generation of virtual sales assistants? A company where GenAI isn't a buzzword, it powers everything from 24/7 Product Experts to intelligent agents guiding customers through complex purchasing journeys across any channel? This is that opportunity, reporting directly into the CTO, you'll head up the AI function, leading a team of Data Scientists and Machine Learning Engineers while remaining hands-on in shaping and delivering cutting-edge AI products. This business is solving real customer problems with Agentic AI, optimised RAG pipelines and state-of-the-art GenAI approaches, and they need a senior AI leader to take ownership of strategy, execution and impact. Joining, you'll:
- Own and evolve the company's AI strategy
- Influence how Agentic and GenAI technologies are used to drive commercial growth
- Lead from the front, balancing leadership with hands-on technical delivery
- Build, mentor and inspire a high-performing AI team
- Work cross-functionally to rapidly validate ideas and ship value fast
- Drive delivery velocity through ambiguity, experimentation and learning You'll bring
Requirements
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Proven experience leading AI teams delivering commercial products
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Deep GenAI and classical ML expertise
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Hands-on experience with Agentic AI, evaluation frameworks, RAG and prompt engineering
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Strong Python skills (PyTorch, scikit-learn, modern ML frameworks)
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A commercial mindset, balancing tech investment with customer value
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The credibility to lead technically and influence at exec level Desirable but not essential:
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Strong AWS, containerisation and MLOps knowledge
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Confidence engaging directly with customers and enterprise stakeholders