AI Implementation Strategist

Key Responsibilities: Own end-to-end enterprise AI implementations, from initial customer discovery through to production deployment and adoption. Work directly with enterprise clients to identify business challenges and translate requirements into scalable AI solutions. Partner closely with engineering and product teams to design, build and deploy AI applications. Manage commercial engagements, including SOWs, project scope, delivery timelines and ROI. Engage with senior stakeholders, including C-suite executives, to drive AI adoption and business transformation. Lead customer demonstrations, training and change management initiatives.

Key Requirements: 5+ years' experience in technical consulting, product management, solutions architecture or enterprise technology implementation. Proven experience delivering complex technology solutions end-to-end, ideally involving Generative AI, Agentic AI or automation. Strong technical understanding of one or more of, Python, SQL, APIs, data pipelines and enterprise application integrations. Familiarity with cloud environments and containerisation technologies such as Docker and Kubernetes. Experience managing commercial client engagements, including SOWs, budgets, scope and measurable business outcomes. Strong stakeholder management skills, with the ability to bridge business requirements and technical engineering teams. Comfortable operating autonomously in a fast-paced, evolving environment. What's on Offer? Opportunity to join a high-growth, well-funded Enterprise AI business. Work directly with major commercial enterprises on cutting-edge AI implementations. Significant autonomy and ownership across the full customer engagement lifecycle. Competitive compensation package, including equity. Flexible hybrid working, unlimited PTO and comprehensive benefits.