AI Coach Senior AI practitioner who can combine applied AI expertise, business problem-solving, facilitation and coaching About the role: We are looking for a senior AI practitioner who can combine applied AI expertise, business problem-solving, facilitation and coaching. The initial focus will be on supporting ELT members, and the scope will later expand to broader employee groups. What you will do: • Train senior leaders and employees • Deliver practical, business-oriented sessions on Generative AI, LLMs, assistants and agents. • Explain where AI creates value, where it does not, and how to think about human-in-the-loop workflows. • Cover agent design, knowledge/context, data, tools, limitations, prompting/instruction design and Responsible AI. • Use examples that are relevant to business functions rather than purely technical demonstrations. • Work 1:1 or in small groups with ELT members and employees. • Understand the current process, pain points, users, value opportunity and success criteria. • Assess whether AI is appropriate and where it can meaningfully improve the outcome. • Define the assistant/agent concept: purpose, workflow, outputs, knowledge/data, human involvement and guardrails. • Help create first prototypes • Support participants in turning shaped concepts into working prototypes using approved enterprise AI tools. • Help structure instructions, knowledge, workflow, inputs/outputs, testing and iteration. • Identify when additional technical, security or Responsible AI expertise is required. • Build internal capability • Create reusable examples, templates and practical learning materials. • Coach internal AI Senseis / champions and help them become more self-sufficient. • Run office hours, clinics or group shaping sessions. • Help successful use cases become reusable patterns for the wider organization. What we are looking for: • Strong hands-on experience with Generative AI, LLMs, assistants, agents and agentic workflows. • Ability to start from a business problem rather than from technology. • Experience facilitating or coaching senior business leaders. • Ability to explain complex AI concepts simply and clearly. • Hands-on capability to prototype assistants/agents, not only present slides. • Strong understanding of human oversight, privacy, security, hallucination/accuracy and Responsible AI. • Experience with ChatGPT Enterprise, Microsoft Copilot Studio, Claude, Gemini, AWS Bedrock, Azure AI or similar enterprise platforms. • Background in AI consulting, product management, transformation, innovation or AI product leadership. • Experience working across functions such as HR, Finance, Marketing, Operations, Legal, Product or Technology. • Experience designing internal AI academies, champion networks or enablement programs.