Amazon Web Services GenAI Engineer Interview Questions

The questions to prepare for a Amazon Web Services GenAI Engineer interview. Questions from real interview reports rank first. Updated weekly.

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Ethics in Generative AI Deployment

Medium

Discuss the main ethical risks in deploying generative AI, including hallucination, misuse, privacy, and governance.

HallucinationPrompt InjectionLLM Evaluation

Amazon Web Services

Evaluate an LLM System

Medium

Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.

HallucinationPrompt EngineeringLLM Evaluation

Amazon Web Services

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Design a Personalized Recommendation Ranker

Hard

Design a personalized recommendation system that turns user preferences into ranked suggestions with retrieval, ranking, and feedback loops.

RetrievalTwo-Tower ModelsRecommendation Systems

Amazon Web Services

Integrating Fragmented Data for GenAI

Hard

Tests system design for data integration, GenAI orchestration, and scalable analytics on AWS.

Feature StoreRetrievalModel Serving

Amazon Web Services

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Supervised vs Unsupervised Learning

Easy

Tests foundational understanding of learning paradigms and when to use each.

Unsupervised LearningBias-Variance TradeoffSupervised Learning

Amazon Web Services

Model Complexity vs Interpretability

Medium

Tests ability to balance performance, risk, and explainability when designing models.

Hyperparameter TuningBias-Variance TradeoffRegularization

Amazon Web Services

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