Working as part of a small technical team and reporting to the Head of Digital Design and Delivery, this role is responsible for the design and implementation of AI-enabled solutions using 

Microsoft Copilot, Copilot Studio and Azure AI services. 

The role will support the needs of Professional Services and student-facing teams across the University by delivering practical, value-driven AI tools that enhance operational efficiency, service quality and user experience. 

The role will work closely with business stakeholders to co-design AI solutions, define requirements, and translate these into robust, scalable implementations. 

This includes building generative AI agents, automations, natural-language analytics tools, and Copilot-based workflows that meet specific operational challenges across various professional services teams. 

Additional responsibilities include supporting testing, providing expert advice regarding AI and ensuring solutions are delivered to a high standard in alignment with the University's strategic aims.

1. Working with stakeholders to review a set of use cases and identify cases that delivery the best return on investment.
2. Working with operational teams to refine requirements and design AI implementations to ensure they align with business needs. 
3. Creating prototypes and proofs-of-concept to assess feasibility and business value.
4. Using technologies such as Copilot Studio, Copilot for M365 and Azure AI/Foundry in collaboration with stakeholders to help implement solutions.
5. Supporting testing activities to ensure deliverables meet required quality standards.
6. Assisting team members with troubleshooting AI or automation issues.
7. Creating reusable AI documentation and components such as prompt libraries, playbooks and blueprints.

Working as part of a small technical team and reporting to the Head of Digital Design and Delivery, this role is responsible for the design and implementation of AI-enabled solutions using 

Microsoft Copilot, Copilot Studio and Azure AI services. 

The role will support the needs of Professional Services and student-facing teams across the University by delivering practical, value-driven AI tools that enhance operational efficiency, service quality and user experience. 

The role will work closely with business stakeholders to co-design AI solutions, define requirements, and translate these into robust, scalable implementations. 

This includes building generative AI agents, automations, natural-language analytics tools, and Copilot-based workflows that meet specific operational challenges across various professional services teams. 

Additional responsibilities include supporting testing, providing expert advice regarding AI and ensuring solutions are delivered to a high standard in alignment with the University's strategic aims.

1. Working with stakeholders to review a set of use cases and identify cases that delivery the best return on investment.
2. Working with operational teams to refine requirements and design AI implementations to ensure they align with business needs. 
3. Creating prototypes and proofs-of-concept to assess feasibility and business value.
4. Using technologies such as Copilot Studio, Copilot for M365 and Azure AI/Foundry in collaboration with stakeholders to help implement solutions.
5. Supporting testing activities to ensure deliverables meet required quality standards.
6. Assisting team members with troubleshooting AI or automation issues.
7. Creating reusable AI documentation and components such as prompt libraries, playbooks and blueprints.

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