Senior AI Specialist - #2193941

• We’re a SaaS scale up - there’s 90+ of us around the UK with our HQ in Leeds.
• Our software is award-winning and used by 100,000s of students at over 1,000 universities & colleges worldwide.
• We’re driven achieve our mission to support 1 million students to become better learners by 2030.

Career track: IC4

Unit: Shared Services

Genio has given everyone access to Claude, but most of what makes AI work across a company doesn’t exist here yet: connections to our business systems, a shared skills library, people in each team who can help their colleagues, and the checks that keep it safe. This role designs and builds that system, then gets every team using it.

It’s a hands-on building role. We buy and configure leading platforms rather than build our own agent infrastructure, and you’ll write code and build custom integrations wherever configuration isn’t enough. Success is measured by how well other teams build and run their own workflows.

You will be responsible for:

• Design. You design how our AI platforms, connectors, skills and agents fit together. You track what’s changing in AI tools, recommend platform and model choices to the Head of BizOps, and judge new tools on measured performance, reliability, security and cost.
• Build and run. You build and maintain the integrations and agents that connect our AI platforms to business systems such as our CRM and our documentation, communication and finance tools. You’re responsible for the health of the whole system: spotting failures and out-of-date skills, and tracking use and cost by team so they can be recharged and reported. Champions answer first-line questions and IT handles access, while you handle escalations and fix root causes so problems don’t come back.
• Knowledge. You build and look after the skills library and the shared knowledge our AI tools draw on: where it lives, how it’s organised, and how it’s kept current and correctly permissioned. You spot good workflows in one team, refine them and make them available to everyone, and decide which become company standards. The teams that own content keep it up to date.
• Adoption. You train people at every level of technical skill and build a network of champions, nominated by their function heads, so every team has someone nearby to ask. You work alongside teams as they redesign processes, bringing the options for what can be automated, and share practice with engineering in both directions. You also report, team by team, where use is growing, where it’s slow and which uses are producing value.
• Guardrails. You keep the inventory of AI tools and what each can access, run a fast track for low-risk trials using criteria from our AI policy, and coordinate security, data protection and legal reviews for everything else. Every trial starts with agreed success criteria and ends with a decision to adopt, scale or stop. You configure and check guardrails, such as human review before AI output reaches customers or students, and limits on what agents can do on Genio’s behalf.

You will be reporting directly into the Head of BizOps (Business Operations) and working most closely with:

• Division leaders and SME champions
• Platform Ops and the Principal Engineers
• Head of EX (Employee Experience), on how roles and expectations change
• VP Finance, on cost and recharging
• IT and InfoSec, RevOps and Data in BizOps
• Legal and data protection

Essential:

• Professional experience rolling out AI tools or automation that teams other than your own use day to day, including redesigning the processes around them.
• Hands-on experience connecting systems through APIs and automation platforms such as Zapier, Make or n8n, and enough Python or JavaScript to write, read and debug integrations, with AI assistance.
• A track record of teaching technical things to non-technical people, and a way of knowing it worked.
• Examples of persuading senior people when you disagreed with their priorities, and of setting your own direction against a wider goal.
• Sound judgement about data and access, including knowing when a connection needs a security review before it goes live.

Desirable:

• HubSpot administration or development
• Organising shared knowledge, such as documentation or knowledge bases
• Setting up or running a champions or super-user network
• Experience in education or with sensitive personal data
• An engineering background

£70,000 - £85,000 dependent upon experience

• 33 days annual leave (Inclusive of bank holidays)
• 3 gifted days off at Christmas
• EMI Share Options Scheme
• Generous individual learning and training allowance
• Truly flexible hours to suit when you work best
• Full home working set up and beautiful collaborative office space
• Free Leeds City Centre office parking
• Nomad working policy with family travel insurance
• Enhanced 26 weeks maternity and 4 weeks paternity (fully paid)
• Health cash plan (from glasses to massages)
• 6% employer pension contribution

Our beautiful office space in Leeds is our key hub for collaboration, and we love to get together in person. We operate a flexible hybrid working model, including supporting our Genios who are based remotely across the UK. If you are more than 50 miles away from the office, we offer full remote working support, with the opportunity to join colleagues for in-person collaboration several times a year.

We will discuss ways of working with you at interview however if you have any questions before you apply please reach out to [email protected]

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