AI Developer (NebulaOne)

Agentic AI Developer

Rate - 525 a day
Location - Manchester
Duration - 3 Months initially
Ir35 - Inside (Must use an umbrella Company)

Based within the Digital Workplace Team, the AI Enablement Officer will play an essential role in supporting the University's growing use of NebulaONE, the University's platform for responsible AI, intelligent automation and knowledge-driven service improvement agents.

The postholder will apply strong organisational, communication and support skills to help colleagues effectively use NebulaONE and other emerging AI technologies.

They will provide platform administration, user onboarding, training and support services that enable staff to create, manage and use AI agents confidently and responsibly. Working closely with the Agentic AI Engineer, the postholder will support the operational delivery and adoption of NebulaONE across the University.
Working alongside colleagues from across the University, the postholder will help promote the effective use of AI technologies, support users throughout their adoption journey and contribute directly to the Manchester 2035 strategic vision.

What are you looking for in terms of previous experience / skills
Platform Administration

• Configures and maintains user access, permissions, groups and platform settings within NebulaONE

• Supports the onboarding of new users, departments and projects onto NebulaONE

• Maintains platform documentation, user guidance and operational procedures

User Enablement

• Delivers training sessions, workshops and demonstrations to support the effective use of NebulaONE

• Acts as a key point of contact for NebulaONE users, providing guidance on platform capabilities and best practice

• Works with stakeholders across the University to support the successful adoption of NebulaONE

• Operational Support

• Works closely with the Agentic AI Engineer to support the delivery, administration and growth of NebulaONE

• Supports testing, rollout and user adoption of new NebulaONE capabilities and features

Engagement and Continuous Improvement

• Monitors platform usage and user feedback to identify opportunities for improvement

• Contributes to the development of support resources, training materials and knowledge repositories

• Participates in broader AI-related communities of practice across the University and wider HE sector