Technical practice
Suggested practice: How would you decide between a Business Rule, client script and UI policy for a ServiceNow feature?
What to coverThe posting names these mechanisms alongside ServiceNow data models and JavaScript. Explain where each runs, how it affects the user experience or stored data, and how you would test the choice.
Suggested practice: How would you structure an AI-enabled feature in App Engine Studio and a Scoped Application?
What to coverThe posting calls for developing ServiceNow AI features and lists both App Engine and Scoped Applications. As preparation, discuss application boundaries, data access and how you would keep the feature maintainable.
Suggested practice: When would you use Flow Designer and IntegrationHub for workflow automation?
What to coverBoth tools are named in the responsibilities. As preparation, walk through a workflow with an external step, including failure handling and when custom development might be preferable.
Suggested practice: How would you configure and validate a Now Assist or Virtual Agent feature?
What to coverThe posting names Now Assist configuration and Virtual Agent knowledge. Discuss the intended user task, how you would check response quality, and when the feature should hand off rather than continue automatically.
Suggested practice: How would you tune and evaluate AI Search?
What to coverAI Search tuning is explicitly listed. As preparation, explain how you would assess result relevance for representative queries, investigate poor results and check for unintended information exposure.
Suggested practice: How would you design a secure ServiceNow integration?
What to coverThe posting lists REST APIs, SOAP/REST patterns, MID Server and OAuth/SAML awareness. Compare when those components are relevant, and explain how you would handle authentication, errors and sensitive data without assuming a particular external system.
Suggested practice: How would you write and evaluate prompts for an AI-enabled feature?
What to coverAuthoring prompts and evaluators is a stated responsibility, and the posting calls for LLM and evaluation-metric understanding. As preparation, describe representative test cases, measurable quality criteria and how you would investigate a regression.
Suggested practice: What trade-offs would you consider in a RAG approach?
What to coverThe posting asks for contributions to RAG strategies and basic understanding of vector search and orchestration frameworks. Explain retrieval relevance, grounding and response quality, including how you would test failures such as missing or misleading retrieved content.
Suggested practice: How would you control an agentic workflow used for automation or developer assistance?
What to coverImplementing agentic patterns for those two purposes is a stated duty. As preparation, discuss tool access, checks before consequential actions, failure recovery and how to evaluate whether the pattern adds value over a simpler workflow.
Suggested practice: How would you validate an AI feature for production use?
What to coverThe role description emphasizes production-ready software, testing frameworks, quality, compliance, Responsible AI and secure engineering. As preparation, outline functional and AI-output tests, review points and how you would handle a failing release criterion.
Behavioural practice
Suggested practice: Tell me about collaborating across engineering and product roles on an ambiguous task.
What to coverThe posting describes agile pods working with architects and product owners. Give a real situation, your actions to clarify requirements or trade-offs, and the result.
Suggested practice: Describe a code review that changed your implementation or improved a colleague’s work.
What to coverCode reviews are a stated part of the role. Explain the situation, how you communicated and acted on feedback, and the resulting change in quality or maintainability.
Suggested practice: Tell me about diagnosing a difficult software-quality problem.
What to coverThe posting emphasizes problem-solving, attention to detail and validating solutions. Use a real situation, the steps you took to isolate and resolve it, and the result.
Suggested practice: Describe a time you raised a security, compliance or responsible-AI concern.
What to coverSecure engineering and Responsible AI are explicit responsibilities. Explain the situation, what you did to assess or communicate the concern, and the outcome without claiming a particular company policy.
Suggested practice: Tell me about adapting quickly to an unfamiliar technology or changing client need.
What to coverThe posting calls for adaptability, curiosity and continuous learning in a client-focused environment. Describe the situation, how you learned or adjusted your approach, and the result.