AI Solutions Consultant

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.

Key Tasks AI Solutions Consultant

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

Other Duties AI Solutions Consultant

• The role is expected to take a structured and proactive approach to their work, balancing immediate priorities with longer-term planning for change initiatives. This includes effective time and resource management.
• The role will contribute their technical expertise and business insight to collaborative work across IT Services.
• A strong understanding of Microsoft platforms and their practical applications is essential to support solution design and delivery.
• The role will work closely with the wider team to identify and develop practical, value-driven solutions that deliver measurable improvements aligned with the University's strategic objectives.
• The role will engage with a broad range of stakeholders across the University. They will support the implementation of new solutions that meet stakeholder needs, ensuring alignment with institutional policies and compatibility with existing systems.

The duties listed are not exhaustive and may be varied from time to time as dictated by the changing needs of the University. The role will be expected to undertake other duties as appropriate and as requested by their manager.

The role may be required to work at any of the locations at which the business of Royal Holloway is conducted

Knowledge, Education, Qualifications and Training AI Solutions Consultant

Experience designing and implementing enterprise AI solutions that deliver either productivity enhancements or user experience improvements in multiple organisations using Microsoft technologies.

Relevant and recent AI related qualifications and/or certifications.

Skills and Abilities AI Solutions Consultant

Expert in delivering, configuring and integrating Microsoft Copilot, Copilot Studio, Power Platform or Azure AI services.

Ability to design, develop and implement AI-enabled solutions in enterprise environments.

Hands-on skills building conversational agents, bots, automations or natural-language data tools.

Strong ability to communicate and translate complex AI concepts into simple language for both technical and non-technical stakeholders.

Ability to write clear, technical and non-technical documentation and creating training materials to support solution delivery and knowledge sharing.

Experience gathering requirements, running workshops and translating business needs into technical specifications.

Experience coaching or supporting colleagues on new technical capabilities.

Experience working within the software development lifecycle including awareness of ITIL and Agile development methodologies and frameworks.

Experience working within a large organisation to help lead an AI portfolio of work across multiple delivery streams.