Head of AI Solutions

About the Company

We are challenging the status quo by building a vertically integrated generative AI (GenAI) cloud platform. Owning the data centres, software, and applications that power today's AI stack, we focus on sustainable technology solutions. Our culture thrives on relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. Collaboration is key, and we value openness, transparency, adaptability, and resilience in everything we do.

About the Role

As the Head of AI Solutions, you will lead the core AI team, driving the AI capabilities of our generative AI cloud platform. This is a hands on leadership role, where you will work closely with the Chief Product Officer (CPO), as well as design, product, and engineering teams. You will define the technical roadmap, recruit and mentor top AI talent, and push the boundaries of generative AI research. Your role will be pivotal in shaping the future of generative AI products and creating solutions that empower developers and organisations globally.

Responsibilities

• Build, lead, and mentor a team of world class AI engineers and researchers to deliver cutting edge generative AI solutions.
• Define the technical vision and roadmap for the platform’s generative AI capabilities, including training, fine tuning, and inference
• Design and implement high performance model serving engines and custom training clusters to optimise scalability, latency, and resource efficiency
• Collaborate with the CPO and cross functional teams to establish AI research goals aligned with business objectives and user needs.
• Drive the development of robust, fault tolerant systems for data ingestion, processing, and model customisation.
• Ensure the integration of advanced distributed training frameworks and GPU optimisation techniques across the platform.
• Incorporate best practices to stay ahead of industry trends and advancements in generative AI, high performance computing (HPC), and distributed systems.
• Represent the company in the AI community through research, technical content, conference talks, and open source contributions. 

Requirements

• Over 10 years of experience in machine learning and AI infrastructure, including at least 5 years in a leadership role.
• Proven ability to build and lead high performing AI engineering teams.
• Deep expertise in Python and PyTorch, with extensive experience in transformer architectures and generative AI models.
• Strong background in distributed training frameworks (e.g., DeepSpeed, FSDP) and GPU optimisation (CUDA, TensorRT, or ROCm).
• Experience in designing and scaling large scale AI systems, including training clusters and inference engines.
• Familiarity with containerised environments and managing AI workloads in production.
• Strong understanding of HPC concepts and experience with supercomputing or high load distributed systems.
• Excellent problem solving skills and ability to address complex performance and scalability challenges.
• Outstanding communication and collaboration skills, with a proven track record of aligning technical teams with business goals. 

Preferred Qualifications

• PhD or MSc in Machine Learning, Computer Science, or related fields.
• Experience contributing to or leading open source projects or research in AI or HPC.
• Product oriented mindset, with a focus on simplifying the developer experience.
• Hands on experience with advanced inference optimisation techniques, such as KVCache, MoE, adaptive batching, or gradient checkpointing.
• Knowledge of API development and integration using OpenAPI specifications.
• Proven ability to author technical blogs, papers, or speak at industry conferences.