Head of AI
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Role details
Tech stack
Job description
AI/ML expertise- strong understanding of modern AI workloads, model deployment, inference, and optimisation
Requirements
Technical leadership- proven experience leading and mentoring high-performing engineering teams Software architecture- expertise designing scalable AI platforms, developer tools, and production-grade systems Cross-functional collaboration- comfortable working closely with hardware, systems, and product teams Strong programming skills- deep experience with Python and C/C++ in performance-critical environments ML infrastructure knowledge- familiarity with AI frameworks, compilers, runtimes, and tooling Relevant industry experience- background in AI infrastructure, high-performance computing, semiconductors, systems software, or deep-tech environments Team-building capability- experience hiring, developing, and scaling engineering organisations
Benefits & conditions
Play a key role in bringing a groundbreaking compute platform to market Define the AI software strategy for a rapidly growing engineering organisation Influence product direction, technology decisions, and long-term roadmap planning Join a well-funded company tackling some of the most demanding challenges in AI infrastructure Competitive compensation package including salary, equity, and benefits Solve complex technical problems at the intersection of AI, systems engineering, and next-generation computingPlease contact Chris Amison for more information.
About the company
I’m working with an innovative deep-tech company developing next-generation computing technology designed to overcome some of the biggest performance and efficiency challenges facing modern AI. They’re building a new class of AI acceleration platform that enables complex workloads to run faster, more efficiently, and at significantly lower cost than traditional approaches. This is an opportunity for a Head of AI to join a highly talented team to develop a breakthrough computing platform with the potential to transform large-scale AI deployment. What they’re looking for
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