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 AI Platform Engineer (Toronto)
🏢 Aimlroles
📍 Toronto