AI Coach

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.