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.