Technical practice
How would you choose a generative AI or LLM approach for a business requirement?
What to coverThe role requires proficiency in generative AI and LLMs and leading solutions that meet business requirements. Suggested preparation: explain how you would compare approaches using task fit, output quality, latency, cost and deployment constraints.
How would you evaluate whether a generative AI application is ready for production?
What to coverThe posting calls for production-ready AI applications and scalable pipelines. Suggested preparation: describe how you would test task performance, failure cases and operational behavior against requirements before release.
How would you design a scalable pipeline for an AI application?
What to coverThe role involves building cloud-based or on-premises application pipelines with production-ready quality. Suggested preparation: walk through the pipeline stages, deployment considerations and how you would identify scaling bottlenecks.
How would you decide between cloud AI services and on-premises infrastructure?
What to coverThe posting names experience developing and deploying AI applications using both cloud AI services and on-premises infrastructure. Suggested preparation: compare operational control, integration, performance and cost for a stated use case rather than assuming one option is always preferable.
How would you improve a generative model that is too slow or produces inconsistent results?
What to coverThe role calls for implementing and optimizing generative models. Suggested preparation: explain how you would establish a baseline, isolate the cause and assess whether a change improves quality without creating unacceptable latency or resource use.
How would you approach a chatbot use case?
What to coverChatbots are listed as a possible application of the role’s AI work. Suggested preparation: describe how you would define the conversational task, handle uncertain or unsuitable responses and evaluate whether the application meets its intended requirements.
How would your approach change for an image-processing use case?
What to coverImage processing is listed as a possible area of work, not a requirement for every project. Suggested preparation: explain how input data, model choice, output assessment and deployment needs might differ from a text-based application.
How would you select a neural network design and deep learning framework?
What to coverThe posting asks for in-depth knowledge of deep learning frameworks and neural network design. Suggested preparation: discuss how task characteristics, available data, framework capabilities and deployment constraints would guide your choice.
How would you troubleshoot a complex issue in a deployed AI system?
What to coverThe role includes resolving complex AI system issues. Suggested preparation: describe how you would reproduce the problem, separate model behavior from pipeline or infrastructure faults, and verify the fix.
How would you turn a stakeholder request into a technical specification?
What to coverThe role involves gathering requirements and translating them into technical specifications. Suggested preparation: show how you would clarify the intended outcome, define measurable acceptance criteria and surface technical trade-offs for a decision.
Behavioural practice
When have you led a technical decision for a team?
What to coverThe posting says the role is responsible for team decisions. Suggested answer: give a real example covering the situation, the options you considered, your action and the result.
When have you aligned multiple teams on a key decision?
What to coverThe role involves engaging with multiple teams and contributing to key decisions. Suggested answer: describe a real situation, how you handled differing priorities and what resulted from your actions.
When have you translated stakeholder needs into an implementable plan?
What to coverThe posting calls for coordinating with stakeholders on requirements and technical specifications. Suggested answer: use a real example to explain the initial ambiguity, the questions you asked, your actions and the outcome.
When have you mentored a junior team member?
What to coverMentoring junior team members is an explicit responsibility. Suggested answer: describe a real development need, the support you provided and the result without overstating your contribution.
When have you helped resolve a difficult technical problem affecting others?
What to coverThe role includes solving problems for the immediate team and across multiple teams. Suggested answer: explain a real situation, how you coordinated the investigation, the action you took and the result.