Wasn't expecting a straight-up Gen AI question in a behavioral round.
Use the STAR method to describe a specific project where you integrated an AI tool (e.g., GitHub Copilot, ChatGPT, or a custom ML model) into your software engineering workflow. Focus on the problem you were solving, how you evaluated and adopted the tool, and the measurable impact on your productivity or code quality. Conclude by reflecting on the trade-offs and what you learned about using AI effectively.
Pro tip: Show that you treat AI as a tool, not a crutch—emphasize how you validated its output and integrated it responsibly, especially in a high-stakes environment like Amazon. Mention any guardrails or review processes you used to mitigate risks.
Briefly describe the project, your role, and the challenge that prompted you to consider AI tools. Keep it concise to focus on the AI experience.
Name the AI tool(s) you used and explain how you evaluated its suitability, including any pilot tests or comparisons with alternatives.
Detail how you incorporated the tool into your workflow, any technical challenges you faced, and how you ensured it aligned with team standards and security policies.
Quantify the outcomes: time saved, bugs reduced, improved code quality, or faster delivery. If possible, tie it to business metrics.
Discuss limitations, risks (e.g., over-reliance, bias, security), and what you would do differently. Show growth and adaptability.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.