Technical practice
Suggested practice question: How would you turn business needs into AI platform requirements?
What to coverThe role calls for a functional platform SME who steers design choices. Preparation suggestion: explain how you would clarify use cases with business stakeholders, define requirements with engineers, and weigh a shared platform capability against a use-case-specific solution.
Suggested practice question: What would you include in an enterprise AI platform operating model?
What to coverThe posting names governance, security, compliance and operational efficiency. Preparation suggestion: discuss decision ownership, controls for onboarding and changes, and how you would check that the model remains workable in production.
Suggested practice question: How would you assess whether an AI use case is ready to onboard?
What to coverThe platform supports AI, generative AI and agentic AI use cases developed with data scientists, engineers and business stakeholders. Preparation suggestion: describe the information you would gather about data, integration, operational support and evaluation before agreeing on a deployment approach.
Suggested practice question: How would you design and evaluate a RAG workflow?
What to coverThe requirements explicitly mention LLMs, context engineering and RAG. Preparation suggestion: explain retrieval and context-selection choices, then describe how you would evaluate answer quality, source relevance, latency and cost.
Suggested practice question: What trade-offs matter when adding agent frameworks and memory?
What to coverAgent frameworks and memory management are named requirements. Preparation suggestion: distinguish what an agent needs to retain from what it can retrieve, and discuss how you would evaluate reliability, access boundaries and operational complexity.
Suggested practice question: How would you choose data-processing and storage components for a platform use case?
What to coverThe posting calls for hands-on experience with Hadoop, Spark, ETL, and relational and non-relational databases. Preparation suggestion: compare choices using data volume, transformation needs, query patterns and maintainability rather than assuming every use case needs every component.
Suggested practice question: When would you use a vector database or a knowledge graph?
What to coverBoth technologies appear in the data-management requirements. Preparation suggestion: contrast similarity-based retrieval with explicit relationship modelling, including how data quality and update needs would affect the choice.
Suggested practice question: How would you deploy and maintain an AI service on the platform?
What to coverThe posting mentions cloud platforms, Docker, Kubernetes, API management, DevOps and CI/CD. Preparation suggestion: outline how you would package and expose a service, validate a release and handle rollback, while making clear that no specific cloud or delivery pipeline is prescribed.
Suggested practice question: How would you design reusable Python utilities for AI teams?
What to coverDeveloping reusable libraries, frameworks and utilities is a stated responsibility, and Python proficiency is required. Preparation suggestion: address interface design, testing, versioning and documentation, including the trade-off between standardisation and use-case flexibility.
Suggested practice question: How would you diagnose rising platform cost or falling performance?
What to coverThe role monitors platform utilisation, performance and cost efficiency to identify improvements. Preparation suggestion: describe the measurements you would inspect, how you would isolate a likely cause, and how you would verify that an optimisation did not degrade use-case quality.
Behavioural practice
Suggested practice question: Tell me about a time stakeholders disagreed on a platform requirement.
What to coverThe role translates business needs into design choices across technical and business groups. Preparation suggestion: use a real situation, your actions to clarify the disagreement and reach a decision, and the resulting outcome.
Suggested practice question: Describe a difficult delivery dependency with a technology team or vendor.
What to coverThe posting calls for partnering with technology teams and vendors on platform delivery and enhancements. Preparation suggestion: give a real example of the dependency, how you coordinated decisions or resolved a blocker, and what resulted.
Suggested practice question: Tell me about a time you helped teams adopt a new technical practice.
What to coverUser onboarding, training and adoption of best practices are stated duties. Preparation suggestion: explain the starting situation, how you adapted your communication or training to users, and what evidence showed the result.
Suggested practice question: Describe a time you balanced delivery with a security or governance concern.
What to coverThe operating model must account for governance, security, compliance and efficiency. Preparation suggestion: use a real situation, explain the trade-off and actions you took with relevant stakeholders, and state the outcome without implying a specific UOB policy.
Suggested practice question: Tell me about a platform improvement you prioritised using evidence.
What to coverThe role analyses utilisation, performance and cost and tracks emerging practices for improvement. Preparation suggestion: describe the situation, the evidence and alternatives you considered, the action you took, and the measurable result if one is available.