I interviewed for an AI Agile Coach / AI Governance-related role supporting an enterprise client. The role description appeared to focus on AI governance, AI PDLC, operating model rollout, playbooks, metrics, training, enablement, stakeholder adoption, and Agile delivery practices. The opportunity itself sounded interesting, and the role appeared to sit at the intersection of AI governance, enterprise transformation, program execution, and Agile delivery. However, the interview felt somewhat misaligned with the role description. Several questions moved quickly into detailed AI implementation and solution-design territory, including RAG versus generative AI, where to insert AI governance controls into an existing PDLC, how to build an AI governance playbook, and how to roll out governance practices across an organization. Those are valid topics for this type of role, but the conversation would have been more effective if the interviewers had clearly distinguished between AI governance implementation, AI architecture, Agile coaching, and technical solution design. At times, the questions felt less like an assessment of judgment and experience and more like a request for a detailed implementation approach without enough context about the organization’s current environment. The most concerning part of the interview was being told that my background appeared theoretical and that I had not implemented AI governance in practice. I found that conclusion overly broad and not well supported by the discussion. Several questions required context before they could be answered responsibly, including where to place AI governance controls in an existing PDLC, how to build a governance playbook, and how to roll out adoption across stakeholders. In real transformation work, those answers depend on the organization’s operating model, risk profile, regulatory environment, delivery maturity, and existing control structure. Asking clarifying questions in that context is not theoretical. It is part of responsible implementation. Constructive feedback: for roles like this, I would recommend aligning the interview questions more closely to the actual role requirements, clarifying whether the company is looking for an AI governance leader, AI Agile coach, AI architect, or AI solution designer, and giving candidates a fair opportunity to explain their implementation experience without being expected to solve a live business problem during the interview. Overall, the role sounded meaningful, but the interview process would benefit from stronger role clarity, better question framing, and a more balanced evaluation of governance, delivery, and technical responsibilities.