Technical practice
How would you design an application that integrates a large language model?
What to coverExplain how you would define the use case, connect the model to the application, and turn its output into a usable result. Suggested preparation: discuss how you would test output quality and handle unreliable responses before deployment.
How would you decide whether a generative AI model fits a proposed solution?
What to coverRelate the model's capabilities and limitations to the problem and the required application behavior. Suggested preparation: describe how you would compare alternatives using representative inputs and explicit acceptance criteria.
What would guide a choice between cloud AI services and an on-premises deployment?
What to coverThe posting calls for experience with both environments, so explain how deployment constraints would shape the application pipeline. Suggested preparation: compare operational control, scalability, latency, and cost without assuming a particular platform.
How would you build a production-quality pipeline for AI model integration?
What to coverWalk through the path from application input to model output and deployment, including how changes to the model or application would be managed. Suggested preparation: explain the checks and operational safeguards you would use to preserve quality as the pipeline evolves.
How would you diagnose a deployed AI pipeline that starts producing poor results?
What to coverDescribe how you would isolate whether the issue comes from inputs, model behavior, integration code, or deployment changes. Suggested preparation: explain what evidence you would gather, how you would limit the impact, and how you would verify a fix.
How would you make an AI application scalable and production-ready?
What to coverConnect the design to expected usage and explain how application and model components would behave as demand grows. Suggested preparation: discuss trade-offs among responsiveness, resource use, reliability, and output quality.
How would you design a conversational agent around a generative AI model?
What to coverExplain how the agent would handle user input, conversation context, and responses while meeting the intended use case. Suggested preparation: describe how you would assess response relevance and handle requests the agent cannot answer well.
When would a deep learning or neural network approach be appropriate?
What to coverDescribe how the problem and available data would inform the choice of architecture, since the posting names these as possible approaches. Suggested preparation: compare the expected benefit with training, deployment, and maintenance complexity.
How would you approach an AI application involving image processing?
What to coverExplain how you would define the image-processing task, prepare inputs, and assess whether the outputs meet the application's needs. Suggested preparation: discuss how image quality or variation could affect results and what you would test.
How would you translate stakeholder requirements into an AI solution design?
What to coverExplain how you would clarify the desired outcome, document technical specifications, and check alignment with organizational goals. Suggested preparation: identify assumptions and trade-offs you would bring back to stakeholders before implementation.
Behavioural practice
Tell me about a time you resolved unclear stakeholder requirements for a technical solution.
What to coverUse a real situation to explain what was unclear and the actions you took to establish a workable specification. State the resulting decision or outcome and how you confirmed it addressed the stakeholder's goal.
Tell me about a consequential technical decision you made while managing a team.
What to coverDescribe the situation, the options considered, and how you involved the team before deciding. Explain your actions, the result, and what you learned from the decision.
Tell me about a problem that affected multiple teams and how you addressed it.
What to coverSet out the shared problem and your specific role in coordinating a response. Describe the actions you took across teams and the resulting change or unresolved trade-off.
Tell me about a time you helped a junior colleague develop a technical skill.
What to coverDescribe the colleague's development need and the guidance or knowledge-sharing actions you provided. Explain the result using observable progress rather than a general claim that mentoring went well.