AI Mentor (AI Workflow Specialist Programme)
On-siteLondon, England, United Kingdom
Job Summary
Support learners in identifying and implementing AI-driven workflow improvements that deliver measurable business impact and ROI. Conduct formative and summative assessments against the Apprenticeship Standard, review high-quality project portfolios, and prepare learners for the End Point Assessment. Deliver ad-hoc technical support and check-in sessions during weekly and group mentoring meetings. Provide regular progress updates to the Delivery Team, assist with line manager references, and serve as the primary contact for portfolio queries. Safeguard children and vulnerable adults in line with the Cambridge Spark process while maintaining relationships that encourage equality of opportunity. Attend regular team meetings and complete ad-hoc duties as required.
Required Qualifications
- Knowledge of or practical experience with modern AI and data tools such as Microsoft Copilot, Azure AI, Power BI, ChatGPT or related platforms.
- Knowledge of or practical experience with low-code/no-code workflow automation and orchestration tools such as Copilot studio, Power Automate, Claude code & cowork*, Zapier, Make, N8N or related platforms.
- Deep understanding of prompt engineering, context engineering, and practical application of LLMs in business processes.
- Experience in leading business change initiatives, improving productivity through AI, or embedding AI tools into team workflows.
- Experience mentoring, teaching, or coaching professionals in a learning or organisational development context; particularly in roles related to apprenticeships or digital skills.
- Experience of prioritising workload, working to strict deadlines and following governing procedures and controls
- The ability to work independently and as part of a team, supporting development of other colleagues
- Conscientious with excellent interpersonal skills
- Excellent verbal and written communication skills
- Ability to work under pressure
- Currently based in the UK
- Hold the legal right to work here
Desired Qualifications
- Background in education or an AI - related field
- Practical knowledge of LLMOps, model evaluation, safety guardrails, AI ethics, and ROI estimation (AI economics).
- Anthropic Claude Certified Architect – Foundations (CCAR-F) or related Claude certification.
- Microsoft Certified: Azure AI Engineer Associate (AI-102) or Azure AI Fundamentals (AI-900).
- AWS Certified AI Practitioner or Cloud Practitioner.
- Microsoft Certified: AI Business Professional (AB-730) or Microsoft 365 Copilot certifications.
- Microsoft Power Platform certifications (e.g., PL-200 Power Platform Functional Consultant or Power Automate credentials).
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