Shape LLM platform observability at BMO, using OpenTelemetry, Prometheus, and Grafana in a hybrid engineering workplace.
The Senior AI Engineer builds capabilities for tracing agent workflows and managing production AI behavior. Responsibilities include capturing spans, prompts, tool calls, and intermediate outputs, while controlling token costs and log cardinality. You will also standardize pipelines, configure dashboards, and support automated anomaly detection and incident response.
Key Responsibilities: Implement OpenTelemetry-based agent tracing frameworks
Capture prompts, spans, tools, and outputs
Build telemetry strategies for token optimization
Configure logging sidecars and centralized dashboards
Replace static thresholds with anomaly detection
Requirements: Bachelor's degree in Computer Science or Engineering
Seven to ten years of Site Reliability Engineering experience
Experience automating detection, investigation, and remediation
Python experience for custom evaluations
SQL or LogQL/PromQL querying experience
Use LLM tracing, platform engineering, and intelligent monitoring to govern BMO’s autonomous AI workflows.

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📌 Senior LLM Platform Observability Engineer (Ontario)
🏢 Aimlroles
📍 Ontario