Purpose Ensure reliability, performance, and cost efficiency of AI services in production telco environments. Key Responsibilities - Define and enforce SLIs/SLOs for AI services (latency, availability, accuracy) - Monitor model drift, performance degradation, hallucination rates - Manage incident response, root cause analysis, DR/HA - Optimise cost-performance trade-offs (GPU usage, inference scaling) Ensure high availability for mission-critical use cases (fraud, network ops) ### Requirements - SRE practices, observability (OpenTelemetry, Datadog) - Experience with high-scale distributed systems - Knowledge of AI monitoring (drift, bias, inference metrics) Strong debugging and incident management skills ### Benefits - Service uptime - Mean time to recovery (MTTR) Cost vs performance efficiency