Head of Applied AI
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Job Description
Head of Applied AI leading Colibri Digital’s production AI engineering capability. Shaping client solutions, technical standards, commercial growth and reusable AI propositions.
Responsibilities:
- Lead and grow Colibri Digital's AI engineering capability
- Shape the technical direction, standards, people, propositions and growth of the Applied AI capability
- Lead AI discovery, consulting and solution conversations with senior clients from opportunity through delivery
- Set standards across architecture, engineering, testing, CI/CD, MLOps/LLMOps, evaluation, security and AI governance
- Ensure AI solutions progress from experimentation into reliable, scalable and governed production environments
- Challenge architecture, estimates and delivery approaches before commitments are made
- Lead, mentor and develop AI engineers and senior technical specialists
- Work with sales and pre-sales to build pipeline, win new work and expand client relationships
- Turn successful client solutions into repeatable offerings, accelerators and reusable intellectual property
- Help manage revenue, utilisation, capacity and margin across the practice
- Build Colibri's visibility in the AI market through clients, partners, events, content and thought leadership
- Travel to client sites, partner events and Colibri/Nasstar offices, including central London, when required
- Participate in talent, leadership, technical/working, peer/practice and executive conversations during the hiring process
Requirements:
- Deep technical expertise in modern AI engineering, particularly LLM-based systems, RAG, agentic or multi-agent architectures, vector databases/embeddings and AI evaluation
- Experience taking AI or ML solutions from prototype through to reliable production use
- Strong software engineering fundamentals including system design, APIs, version control, automated testing and CI/CD
- Experience of MLOps/LLMOps and operating AI systems in production
- Experience with modern cloud AI technologies and platforms
- Experience leading engineers building AI systems while retaining strong technical credibility
- Experience working directly with senior clients, ideally within consulting, professional services or another client-led technology environment
- Experience in pre-sales, including discovery, solution shaping, proposals, pitches, or helping win and expand client work
- Experience leading, mentoring and developing technical people
- Strong understanding of responsible AI, governance, evaluation and deploying AI safely at scale
- Ability to move between business value and commercial outcome discussions and detailed AI solution design discussions
- Comfortable operating without layers of infrastructure, taking ownership and turning ideas into action
- Remote within the UK with travel required
Benefits:
- Salary Sacrifice Pension plan of 5+3
- 25 days' annual leave + 1 birthday day
- Private Medical and wider benefits
- Remote-first within the UK
- Travel to client sites, partner events and Colibri/Nasstar offices, including central London, when required
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