AI Lead

Technical AI Implementation Lead Greater Manchester (3 days/week onsite) Salary: £80,000-£100,000 The Opportunity We are partnering with an ambitious and growing organisation embarking on a significant AI transformation journey. The business is investing heavily in AI to improve operational efficiency, enhance customer experience, and unlock new opportunities for growth. As th e Technical AI Implementation Le ad, you will play a pivotal role in building and scaling AI capability across the organisation. This is a senior, hands-on position combining AI strategy, technical implementation, automation, and user enablement. You will be responsible for identifying high-value AI opportunities, implementing practical solutions, and driving adoption across the business through training, coaching, and best-practice guidance. Acting as a bridge between technology and the wider business, you will work closely with stakeholders at all levels to ensure AI delivers measurable and lasting impact. This is a rare opportunity to shape AI capability from the ground up, establish best practices, and play a key role in defining how AI transforms the organisation for years to come. The Role * Define and execute the organisation's AI implementation and adoption strategy. * Identify, prioritise, and deliver high-impact AI initiatives across multiple business functions. * Evaluate, select, implement, and optimise AI tools, platforms, and automation solutions. * Design and deliver AI-enabled workflows, integrations, and lightweight automations to improve productivity and operational efficiency. * Build practical AI use cases, prototypes, and proof-of-concepts to demonstrate business value. * Partner with stakeholders to understand business challenges and translate them into scalable AI solutions. * Lead the rollout and adoption of AI technologies, ensuring teams are supported through training, coaching, and enablement activities. * Develop reusable playbooks, frameworks, and best practices to support effective and responsible AI usage. * Establish governance frameworks, usage policies, and guardrails for AI across the organisation. * Monitor emerging AI technologies and assess their potential application within the business. * Act as the internal subject matter expert for AI, providing guidance and support across technical and non-technical teams. Essential Requirements * Demonstrable experience leading AI adoption, digital transformation, or technology enablement initiatives within a commercial environment. * Strong technical background in software engineering, systems integration, automation, platform engineering, solutions architecture, or a related discipline. * Hands-on experience implementing and applying AI technologies, including Large Language Models (LLMs) and generative AI tools. * Experience designing and deploying AI-enabled workflows, automations, and integrations using APIs and modern AI platforms. * Strong understanding of prompt engineering, evaluation techniques, and the practical application of AI within business environments. * Experience engaging and influencing stakeholders across both technical and non-technical audiences. * Excellent communication, facilitation, and change management skills. * Excellent interpersonal skills, with the ability to engage, coach, and influence both technical and non-technical stakeholders across all levels of the organisation. * Comfortable operating at both strategic and hands-on levels. Desirable Requirements * Experience with workflow automation platforms such as Power Automate, Zapier, Make, or n8n. * Experience integrating AI solutions with existing SaaS platforms and business systems. * Familiarity with cloud AI platforms such as AWS Bedrock, Azure AI, or Google Vertex AI. * Experience with agentic AI, orchestration frameworks, AI assistants, or multi-agent systems. * Previous experience within highly operational, customer-centric, or fast-paced environments. * Experience building communities of practice, AI champion networks, or internal enablement programmes.