A company is looking for a Senior AI Observability Engineer to lead the observability strategy for AI / ML systems and features.
Key Responsibilities
Lead end-to-end observability design for AI / ML features in production and internal usage
Instrument AI features for latency, accuracy, drift, usage, and cost monitoring
Collaborate with cross-functional teams to define and automate quality SLIs / SLOs for models
Required Qualifications
6+ years in Site Reliability Engineering, Observability Engineering, or ML Ops focused on AI / ML systems
Deep experience in instrumenting AI pipelines for observability, including drift detection
Hands-on experience with OpenTelemetry, Datadog, and similar tools
Proficiency with Python, Go, or similar programming languages
Strong understanding of ethical AI practices and responsible telemetry instrumentation
Senior Ai Engineer • Corona, California, United States