Technical practice
How would you design a responsible AI solution using Microsoft Azure OpenAI Service?
What to coverSuggested preparation: Explain how you would translate a business use case into a service design and identify ethical and regulatory considerations before deployment. Discuss how you would evaluate the design against those considerations without assuming a particular enterprise architecture.
What would you consider when deploying and managing a cloud-based AI service?
What to coverSuggested preparation: Walk through deployment, operational ownership and checks needed to keep the service working as intended. Explain how you would balance reliability with ongoing responsible AI oversight.
How would you integrate ethical guidelines into an AI development process?
What to coverSuggested preparation: Describe where teams would identify potential harms, document decisions and review changes during development. Explain how you would make the guidelines actionable rather than treating them as a one-time approval.
How would you apply AI ethics frameworks alongside regulatory requirements?
What to coverSuggested preparation: Distinguish broad ethical principles from obligations that require compliance, and explain how you would map each to reviewable project decisions. Address how you would revisit that mapping as frameworks or requirements evolve; the posting does not name a specific regulation.
How would you monitor an AI system for ongoing responsible AI compliance?
What to coverSuggested preparation: Describe what evidence you would collect, how you would evaluate changes in system behaviour and when you would escalate a concern. Distinguish continuous monitoring from a pre-deployment assessment.
How would you investigate a responsible AI concern in a deployed system?
What to coverSuggested preparation: Explain how you would establish the scope of the concern, examine available evidence and decide whether use of the system should change while it is investigated. Discuss how you would verify that a corrective action addresses the issue without creating a new one.
How would you evaluate whether an AI solution is responsible enough to deploy?
What to coverSuggested preparation: Define evaluation criteria tied to the use case, ethical principles and applicable requirements, then explain how results would inform a deployment decision. Discuss trade-offs between usefulness and risk rather than relying on a single pass-or-fail measure.
How would you design for both scale and responsible use in an enterprise environment?
What to coverSuggested preparation: Explain how growth in usage, teams or use cases could affect operational management and oversight. Describe how you would preserve consistent responsible AI practices while allowing a solution to meet enterprise demand.
Behavioural practice
Tell me about a time you led a team to incorporate an ethical consideration into technical work.
What to coverSuggested preparation: Use a real situation, your actions and the result; clarify how you helped the team turn a principle into a decision or practice. Explain any trade-off you had to navigate.
Describe a time you brought technical and non-technical stakeholders together around an AI-related decision.
What to coverSuggested preparation: Set out the different concerns, how you communicated them across groups and the resulting decision or next step. Focus on your contribution rather than assuming everyone initially agreed.
Tell me about a time you guided a junior colleague through an unfamiliar methodology.
What to coverSuggested preparation: Describe the situation, how you tailored your guidance and what the colleague was able to do afterward. If your example involves responsible AI, explain the principle you helped them apply.
Describe a work-related problem you had to resolve independently as a subject-matter expert.
What to coverSuggested preparation: Explain how you defined the problem, tested possible approaches and decided when to seek others' input. State the result and any limitation that remained.
Tell me about a time you challenged or improved a proposal during a team discussion.
What to coverSuggested preparation: Describe the proposal, the concern you raised and how you contributed to a constructive decision. Explain the outcome using a real example, especially if the discussion involved balancing delivery goals with risk.