Top 19
Prep plan
Updated weekly · Last refresh Aug 30

Amex AI Engineer Interview Questions

The questions to prepare for a Amex AI Engineer interview. Questions from real interview reports rank first. Updated weekly.

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~3htotal time
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1
System DesignStart here. 5 questions · ~41 min
Design an LLM Serving PlatformHard

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingAmex
Design a Multi Agent Coordination SystemHard

Design the infrastructure for a multi-agent system where agents communicate, coordinate work, and recover from non-deterministic failures.

Feature StoreModel ServingRecommendation SystemsAmex
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2
Model Evaluation3 questions · ~24 min
Monitor and Improve Model PerformanceHard

How to monitor a model’s metrics over time and decide when to tune thresholds or retrain.

CalibrationAccuracyThreshold TuningAmex
Real Time Drift Monitoring DesignMedium

Design a real time monitoring and alerting approach for feature drift, model degradation, and noisy metric movement in production.

CalibrationAUC-ROCThreshold TuningAmex
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3
Machine Learning4 questions · ~32 min
Precision-Recall Trade-offsMedium

Tests ability to reason about metrics and decision thresholds for fraud detection.

fraud detectionModel EvaluationAmex
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4
More topics7 questions · ~57 min
Explain Transformer Architecture BasicsEasy

Explain the transformer architecture and why it became a core building block for modern NLP systems.

Neural NetworksLanguage ModelsDeep LearningAmex
Evaluate an LLM SystemMedium

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

HallucinationPrompt EngineeringLLM EvaluationAmex
Streaming Transaction Anomaly DetectionHard

Tests coding ability and algorithmic thinking for real-time anomaly detection.

Stream Processinganomaly detectionAlgorithmsAmex
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