Technical practice
How would you turn a business problem into a production-ready AI solution?
What to coverSuggested preparation: Explain how you would clarify the user need, define a measurable outcome, and decide whether AI is appropriate. Cover a path from initial design through deployment, support, and adoption; the posting emphasizes business outcomes rather than experimentation alone.
How would you design retrieval over complex enterprise data?
What to coverSuggested preparation: Discuss how you would prepare and organize source data, retrieve relevant information, and evaluate whether the results support useful answers. Address trade-offs among relevance, freshness, access controls, and operating cost.
How would you structure a Python-based enterprise AI service?
What to coverSuggested preparation: Describe API boundaries, validation, error handling, and testing for a service that other enterprise systems can use. Explain how you would make the service maintainable and observable in production.
How would you integrate an AI capability with CRM, knowledge, data, and operational platforms?
What to coverSuggested preparation: Walk through interface contracts, data flow, permissions, and failure handling across systems. Explain how you would protect enterprise data while keeping integrations reliable and useful.
When would you use an AI agent or multi-step workflow instead of a simpler service?
What to coverSuggested preparation: Compare the flexibility of agents with the predictability of a defined workflow. Discuss orchestration, step-level checks, failure recovery, and how you would limit unnecessary complexity.
How would you deploy an AI solution on Azure or AWS using Infrastructure as Code?
What to coverSuggested preparation: Describe how you would define and review infrastructure changes, manage environments and configuration, and deploy reproducibly. Discuss reliability, security, and cost trade-offs without assuming a particular cloud service or IaC tool.
How would you evaluate an AI solution before release?
What to coverSuggested preparation: Propose evaluation cases tied to the business use case, including quality and failure cases, and explain how you would compare changes. Describe release criteria and how you would detect a regression after deployment.
How would you troubleshoot a production AI workflow that has become less reliable?
What to coverSuggested preparation: Explain what you would monitor across inputs, retrieval, workflow steps, integrations, latency, and errors to isolate the cause. Cover mitigation, verification, and how findings would feed continuous improvement.
How would you choose between building, buying, and combining AI capabilities?
What to coverSuggested preparation: Compare fit to the business problem, integration effort, governance, reliability, ongoing ownership, and cost. Explain how you would test assumptions before committing to an approach.
What governance controls would you establish for an enterprise AI release?
What to coverSuggested preparation: Discuss access to data and integrations, ownership, evaluation evidence, and review of changes. Explain how controls can support secure operation without preventing useful business adoption.
Behavioural practice
Tell me about a time you aligned business and technical stakeholders on a solution.
What to coverSuggested preparation: Use a real situation involving differing needs, explain how you clarified the problem and coordinated decisions, and state the result. Connect your example to the role’s collaboration with business leaders, product managers, and cloud or data teams.
Tell me about a time you improved adoption of a technical solution.
What to coverSuggested preparation: Describe the users’ initial needs or obstacles, what you changed or communicated, and the observed result. If available, distinguish usage evidence from broader business impact.
Tell me about a time you supported a production issue.
What to coverSuggested preparation: Set out the impact, your actions to diagnose and stabilize the system, and the result. Include what changed afterward to improve reliability or monitoring, if applicable.
Tell me about a time you made a build-versus-buy trade-off.
What to coverSuggested preparation: Explain the situation, the options and criteria you considered, your contribution to the decision, and the outcome. Be clear about uncertainty or trade-offs that remained.
Tell me about a time you introduced an evaluation, governance, or release practice.
What to coverSuggested preparation: Describe the gap you identified, how you worked with others to change the practice, and its result. If you have no directly comparable example, choose a real engineering quality practice and explain the limits of the comparison.