Senior Manager, AI Reliability Engineering -Kroger Technology & Digital (P2498)

Required

• *Minimum 10+ years of experience in software, platform, cloud, SRE or production engineering, including 3 or more years leading engineering teams.
• *Track record of building engineering capabilities, standards, automation or platforms that measurably improved system quality and reliability at scale.
• *Strong technical depth in distributed systems, Kubernetes, cloud infrastructure on GCP and/or Azure, networking, identity, automation, CI/CD and modern observability engineering.
• *Experience establishing SLOs, error budgets, on-call practices, production-readiness reviews, incident management and post-incident improvement programs.
• *Direct experience with ML, AI or LLM systems in production, or demonstrated ability to master failure modes unique to models and agents, including drift, non-determinism, quality regression, prompt and context issues, and hallucination.
• *Ability to influence architecture and roadmaps, lead through ambiguity, partner across a matrixed organization and drive outcomes without direct authority.
• *Excellent technical and executive communication, with the ability to shape strategy with leaders and go deep with senior engineers.