Explores AI's impact on reliability engineering practices, indicating new responsibilities in production environments.
The rapid integration of artificial intelligence into production systems has fundamentally changed what it means to keep software reliable. Traditional Site Reliability Engineering (SRE) was built around human-driven incident response, static alert thresholds, and periodic postmortems. Today, AI is reshaping every one of those pillars. This paper explores the evolving responsibilities of reliability engineers in AI-powered environments, the scientific concepts underpinning AI reliability, and the emerging discipline of AI Reliability Engineering (AIRE). It draws on real-world patterns in cloud infrastructure, financial systems, and multi-cloud architecture to outline practical frameworks that reliability engineers can adopt today.
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Venkata Srinivas Kantamneni (2026) studied this question.
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