AI Transformation Principal

Who are AND? We're on a mission to close the world's tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we've worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. As technology continues to evolve, we believe the most successful organisations will be those that combine the best of both: human ingenuity AND intelligent technology. That belief is embedded in everything we do. We call it the genius of the AND: deep expertise AND practical delivery, innovation AND responsibility, ambitious work AND sustainable careers. Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world. About you You care deeply about producing high-quality work that delivers real value You're comfortable navigating ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust quickly with clients and teammates You're pragmatic, adaptable and outcome-focused You enjoy sharing knowledge and helping others grow You value low-ego collaboration and enjoy working as part of multidisciplinary teams The Role As an AI Transformation Principal, you will lead multidisciplinary teams to design, deliver and embed AI solutions that solve real business problems and create measurable value for our clients. You'll combine strong AI technical understanding with hands-on delivery experience, business transformation expertise and the ability to build trusted relationships with senior client stakeholders. You will lead a team in AI engagements from initial discovery and opportunity prioritisation through solution design, build, deployment and adoption. Working closely with client Leads and Heads Ofs, you'll translate business ambitions into practical delivery plans, guide technical and product teams, and ensure solutions are safe, scalable and deliver the outcomes intended. This is a hands-on leadership role. We don't expect you to be the deepest technical specialist in every room, but we do expect you to understand how modern AI solutions are built, be comfortable getting into the technical detail, challenge architectural and delivery decisions, and have first-hand experience of taking AI solutions into production. Beyond delivering individual solutions, you'll help clients develop the processes, capabilities, governance and operating models needed to sustain and scale AI adoption long after an engagement ends. Its essential this person has experience: Proven AI Delivery Experience: First-hand experience designing, building or directly contributing to AI solutions deployed into production, with a clear understanding of the challenges involved in moving from experimentation to live business operations. Engagement leadership: A track record of independently leading multidisciplinary technology or AI engagements, managing client relationships and taking accountability for delivery outcomes. Business transformation experience: Experience translating technology capabilities into changes to business processes, operating models or ways of working, with evidence of successful adoption. AI technical understanding: Practical knowledge of modern AI architectures and delivery approaches, with the confidence to engage in detailed technical discussions and challenge engineering decisions. Commercial and value focus: Ability to build a credible business case, prioritise opportunities and demonstrate the measurable impact of delivered solutions. What the role will be doing, and you can bring to the table: 1. AI Engagement with a focus of applying the right approach for different business problems. Technical Solution Leadership: Ability to work confidently alongside AI engineers, architects and developers, challenging solution designs, understanding technical trade‑offs and guiding decisions around integration, scalability and maintainability. Enterprise AI Integration: Understanding of how AI solutions connect with enterprise data, APIs, existing platforms and business workflows, including the importance of identity, access controls and trusted context. Production AI Quality: Practical knowledge of AI evaluation, testing, observability, security, cost and performance considerations, ensuring solutions are reliable and fit for real-world use. 4. Consulting