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Last updated: April 4, 2026 · Data: Glassdoor, BLS, ZipRecruiter 2026

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Become a AI Reliability Engineer (AI SRE)

High Growth

Monitors and maintains AI model performance in production environments, preventing drift and managing incidents. Day-to-day involves setting up model monitoring dashboards, detecting and responding to model performance degradation, managing ML pipeline reliability, coordinating incident response for AI system failures, optimizing inference costs and latency, and ensuring SLA compliance for AI services.

$170K$140,000 - $230,000
4moAvg Transition
HighGrowth Rate

Skills Required

MLOps and model deploymentSite reliability engineering practicesMonitoring and observability toolsPython and infrastructure-as-codeCloud platforms (AWS, GCP, Azure)Docker and KubernetesCI/CD for ML pipelinesPerformance tuning and cost optimizationIncident management

Companies Hiring

GoogleAmazonMicrosoftMetaNetflixUberWaymoStripe

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