Deployed AI Engineer

· Own delivery of AI use cases end to end for an assigned business unit, from requirements through to production

· Partner with business stakeholders and Technical Product Owner to define, prioritize and scope use case requirements

· Assess use case risk materiality and apply the required controls, including human-in-the-loop design for medium and high-risk use cases

· Own post-deployment monitoring and ongoing performance of delivered use cases

· Run user training and drive adoption within the business unit

· Own use case documentation, governance records, and measured outcomes (time saved, process improvement, adoption)

· Provide structured feedback to the Shared AI Services and Platform team on platform capabilities, product gaps, and reusable patterns to support continuous improvement and benefit broader AI use cases