This came near the end and I wasn't really ready for it.
Describe specific ways you integrate generative AI tools into your workflow, such as code generation, debugging, or documentation, and then explain your verification process. Emphasize that you treat AI output as a draft and apply rigorous testing, code review, and validation to ensure correctness.
Pro tip: Highlight that you use AI to augment, not replace, your engineering judgment, and mention how you balance speed with quality by setting clear boundaries for AI usage. Show awareness of potential biases or security risks in AI-generated code.
Explain how you use generative AI tools in your daily tasks, such as generating boilerplate code, suggesting optimizations, or writing tests. Be specific about tools and scenarios.
Detail your approach to validating AI-generated code, including unit tests, integration tests, static analysis, and peer reviews. Emphasize that you never blindly trust AI output.
Share a real or hypothetical example where you used AI, caught an error, and corrected it. This demonstrates your critical thinking and practical experience.
Acknowledge the limitations of AI tools, such as potential security vulnerabilities or incorrect assumptions, and explain how you mitigate these risks.
Connect your approach to Amazon's leadership principles, such as Insist on the Highest Standards, Learn and Be Curious, and Deliver Results, showing cultural fit.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.