Didn't expect this to come up in a behavioral round but it makes sense given where everything is heading.
Structure your answer around a specific project where you used generative AI tools, emphasizing the technical decisions, trade-offs, and outcomes. Highlight how you navigated ambiguity and adapted to new technologies, aligning with Amazon's leadership principles like Customer Obsession and Learn and Be Curious.
Pro tip: Quantify the impact of your generative AI work (e.g., reduced latency by 30%, increased accuracy by 15%) and discuss lessons learned from failures or pivots, showing maturity and a growth mindset.
Briefly describe the project, your role, and why generative AI was chosen over other approaches. Mention the business problem and constraints.
Explain the specific generative AI tools or models used (e.g., GPT-4, Stable Diffusion), how you integrated them, and any customizations or fine-tuning.
Highlight key technical trade-offs (e.g., cost vs. performance, latency vs. quality) and how you addressed ambiguity or unexpected issues.
Quantify the outcomes (e.g., metrics, user feedback) and connect them to business goals or customer experience.
Summarize what you learned, how you adapted, and how you would apply these lessons to future projects at Amazon.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.