AI Deployment Specialist - Justice AI Unit (Ref: 23921)

The Justice AI Unit is part of the Service Transformation Group, an interdisciplinary team of technologists, product specialists, and operational experts working to embed responsible AI across the justice system. The AI Deployment Specialist will lead the scaling of Justice Transcribe across Probation, setting the deployment approach, leading delivery across probation regions, and ensuring that adoption produces measurable, sustained improvements in frontline services. Key responsibilities: Lead the scaling of Justice Transcribe across Probation Set and own the deployment strategy and plan for scaling Justice Transcribe across probation regions Exercise delegated authority over deployment sequencing, opportunity prioritization, and the focus of deployment effort Be accountable for deployment progress and operational impact Lead colleagues across HMPPS, probation regions, product, engineering, and specialist functions to deliver shared deployment outcomes Identify the capacity and specialist input required for delivery, negotiate commitments with the relevant leads, and adjust plans where constraints threaten outcomes Lead the identification and assessment of new use cases with operational leaders and frontline teams Prioritize opportunities according to operational benefit, user need, feasibility, readiness, and risk Use evidence from deployments to influence product roadmaps, operational plans, and the Justice AI Unit's approach to scaling AI Lead practical changes to technology, workflows, and deployment processes Establish deployment readiness criteria with operational, product, security, data, and assurance colleagues, and assess proposed deployments against them Ensure policy, legal, security, and AI assurance requirements are reflected in workable deployment controls and operational processes Maintain oversight of deployment risks and ensure appropriate action, ownership, and escalation Lead improvements to the deployment approach following live-service issues, user feedback, and assurance findings Set clear expectations for deployment outcomes and establish measures before rollout Assess time saved, service quality, sustained adoption, user confidence, and unintended consequences using quantitative and qualitative evidence The successful candidate will be expected to demonstrate the following behaviors: Changing and Improving Making Effective Decisions Communicating and Influencing Job Data by YubHub .