American Express GenAI Engineer Interview Questions
The questions to prepare for a American Express GenAI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Explain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.
American ExpressTalk through a real generative AI project, focusing on architecture, evaluation, hallucination risk, and how you handled safety issues in practice.
American ExpressExplain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.
American ExpressExplain LLM hallucination and give three practical ways to reduce it using grounding, prompting, and evaluation.
American ExpressTests whether your motivation for generative AI is grounded in real ownership, communication, and business impact rather than hype.
American ExpressExplain how supervised and unsupervised learning differ for generative models, including training signals, use cases, and evaluation.
American ExpressTests system design skills for building a production GenAI pipeline for personalized customer communications at American Express.
American ExpressTests your ability to design for scalability, reliability, and operational excellence for GenAI services at American Express.
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