Technical practice
Suggested practice: How would you architect a custom AI infrastructure and hardware solution?
What to coverThe role calls for architecting and building custom AI infrastructure. Suggested answer focus: define workload and client constraints first, then explain how you would choose, integrate and validate the computational stack.
Suggested practice: How would you diagnose an LLM workload that is missing performance targets?
What to coverThe posting emphasizes optimizing infrastructure and hardware performance. Suggested answer focus: measure the workload, isolate bottlenecks across the stack and verify that a change improves the relevant metric.
Suggested practice: How would you balance performance, power consumption, cost and scalability?
What to coverThese four optimization goals are explicit responsibilities. Suggested answer focus: describe the trade-offs, the measurements you would use and how you would make a defensible choice when goals conflict.
Suggested practice: What does it take to operationalize an enterprise-grade LLM component?
What to coverThe role includes designing, building, integrating, testing and operationalizing LLM components. Suggested answer focus: explain the path from a working component to one that can be deployed, monitored and maintained, without assuming a particular platform.
Suggested practice: How would you design and test an agentic AI component?
What to coverAgentic AI components are explicitly in scope. Suggested answer focus: explain component boundaries, how you would evaluate intended behavior and how you would handle failures; these are preparation considerations, not stated implementation requirements.
Suggested practice: How would you test a generative AI component before integrating it into a client solution?
What to coverTesting and integration are stated parts of the hands-on role, and Generative AI is a required skill. Suggested answer focus: distinguish component tests from end-to-end checks and explain how test results would guide revisions.
Suggested practice: How would you approach full-stack integration of AI infrastructure?
What to coverThe posting explicitly includes full-stack integration of AI infrastructure technologies. Suggested answer focus: identify interfaces between hardware, infrastructure and AI components, then describe how you would detect and resolve integration issues.
Suggested practice: How would you evaluate and select an AI infrastructure vendor?
What to coverAdvising on technology and vendor evaluation and selection is a stated responsibility. Suggested answer focus: compare candidates against workload needs and measurable performance, power, cost, scalability and integration considerations.
Suggested practice: When would AWS be a suitable option for this architecture?
What to coverAWS is listed as good to have, not required. Suggested answer focus: explain how you would assess its fit against client constraints and alternatives, without assuming the engagement uses AWS.
Behavioural practice
Suggested practice: Tell me about translating a client's needs into a hands-on technical solution.
What to coverThe role involves engineering across active client engagements. Use a real situation, your actions to clarify needs and build or adapt the solution, and the result; do not assume a particular client or project type.
Suggested practice: Describe a time you had to resolve competing architecture priorities.
What to coverPerformance, power, cost and scalability are all stated concerns. Give the situation, how you made and communicated the trade-off, and the observed result.
Suggested practice: Tell me about an integration or testing problem you owned through resolution.
What to coverBuilding, integrating, testing and operationalizing components are central to the role. Describe the situation, the diagnostic and corrective actions you personally took, and the result.
Suggested practice: Describe a time you recommended one technology or vendor over another.
What to coverTechnology advice and vendor selection are explicit responsibilities. Set out the situation, the evidence and actions behind your recommendation, and what happened as a result.