Technical practice
How would you evaluate and prioritize competing AI use cases?
What to coverThe role calls for evaluating use cases against business problems and measurable value. Suggested answer focus (inferred): compare expected impact, feasibility, data readiness and implementation effort, and explain how you would make trade-offs.
How would you design an AI use case to improve a business process?
What to coverThe posting emphasizes simplifying processes and identifying data and technology requirements. Suggested answer focus (inferred): define the current process, the proposed change and how you would test whether it improves outcomes.
How would you assess whether the data for an AI use case is sufficient?
What to coverThe role requires identifying underlying data requirements. Suggested answer focus (inferred): discuss relevance, quality, availability and gaps, including when a use case should be revised or deferred.
When would an LLM be appropriate for a proposed use case?
What to coverLLM proficiency is a required skill for this role. Suggested answer focus (inferred): compare an LLM approach with simpler alternatives and explain how you would assess output quality and practical limitations.
How would you choose AI frameworks and tools for a solution?
What to coverThe posting asks for a strong understanding of AI frameworks and tools without naming specific products. Suggested answer focus (inferred): explain selection criteria such as fit to the use case, integration needs and maintainability rather than assuming a particular stack.
How would you improve a generative AI use case through prompt engineering?
What to coverPrompt Engineering and Generative AI are listed as good-to-have skills. Suggested answer focus (inferred): describe how you would define the task, compare prompt variants and evaluate whether changes improve useful outputs.
How would you use data analysis to inform an AI strategy?
What to coverThe role calls for analyzing and interpreting data to inform AI strategies. Suggested answer focus (inferred): connect a business question to relevant evidence, explain uncertainty and show how findings would affect priorities.
How would you monitor an implemented AI solution?
What to coverMonitoring effectiveness and supporting continuous improvement are stated responsibilities. Suggested answer focus (inferred): identify outcome measures and quality signals, then explain how findings would lead to changes or further evaluation.
What would you consider when designing for AI adoption beyond one team?
What to coverThe posting emphasizes scaled AI adoption and decisions that affect multiple teams. Suggested answer focus (inferred): discuss how shared requirements, stakeholder input and evidence of value would influence a design intended for wider use.
Behavioural practice
Tell me about a workshop you facilitated to develop a solution.
What to coverFacilitating workshops and brainstorming sessions is a stated duty. Suggested response (inferred): use a real situation, the actions you took to draw out and assess ideas, and the result.
Describe a consequential decision you made with multiple teams.
What to coverThe role involves contributing to key decisions across teams. Suggested response (inferred): explain the situation, how you handled differing input and made your contribution, and what resulted.
Tell me about a time you took responsibility for a team's performance or decision.
What to coverManaging team performance and taking responsibility for team decisions are stated expectations. Suggested response (inferred): give a real situation, your specific leadership actions and the result, including what you learned.
Describe a time you explained a complex AI concept to non-technical stakeholders.
What to coverThe posting explicitly calls for communicating complex AI concepts to non-technical stakeholders. Suggested response (inferred): describe the situation, how you adapted the explanation and the resulting understanding or decision.