Description:
Disclose use of AI tools but highlight the human contributions—strategy, prompt engineering, data preparation, validation, and iteration. Name the tools and quantify outcomes (e.g., time saved, accuracy improved) and be prepared in interviews to walk through the prompt-to-result workflow and your decision-making. Check confidentiality and IP rules before listing client or company projects that involved proprietary data or models.
2 Answers
Treat AI as a teammate and prove reproducibility. Record prompt versions, parameters and timestamps so reviewers can judge rigour. Share sanitized before-after snippets plus failure cases you found and how you fixed them. Mention monitoring, documentation and who maintains the pipeline 😊
I present AI work with an impact-first story and a separate appendix for technical proof. On the resume I write one crisp line about what I owned and the business outcome, plus a note about stakeholder adoption or training I led. In the portfolio I include artifacts like audit summaries for bias and compliance, rollout plans, and short demos showing where humans stayed in the loop. I avoid vague "used AI" claims and instead say what decisions I made, what I chose not to automate, and how adoption or user satisfaction changed after rollout. That feels honest and practical in interviews.
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