Senior AI Platform Operations Engineer

2 months ago

Toronto, CanadaSenior

Responsibilities

Administer and operate AI platform services to maintain availability, performance, resilience, and production readiness.
Monitor platform health through dashboards, logs, metrics, alerts, and traces, and coordinate incident triage, escalation, and service restoration.
Lead post-incident reviews and track service reliability indicators, incident trends, and operational performance.
Validate environment readiness, dependencies, operational checklists, service transitions, releases, changes, maintenance, and capacity planning.
Implement observability and AIOps capabilities for alert correlation, anomaly detection, root-cause support, forecasting, and repetitive-task automation.
Execute AI governance controls covering access, privacy, auditability, traceability, human oversight, security, risk, and compliance.
Maintain audit evidence, operational documentation, production-readiness records, control validation materials, and support playbooks.
Maintain visibility into AI assets, ownership, relationships, lifecycle status, monitoring, support, and cost attribution.
Administer Microsoft Power Platform and Copilot Studio environments, including security roles, solution deployments, agent lifecycle management, monitoring, analytics, knowledge sources, and governance controls.

University degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
5–7 years of experience in platform operations, site reliability engineering, DevOps, cloud operations, or enterprise IT operations.
Strong production-platform experience with monitoring, incident response, problem management, service restoration, and operational reporting.
Experience with Azure Automation runbooks using PowerShell or Python, Azure AI, Copilot integrations, AKS, hub-and-spoke virtual networks, and App Service.
Experience with Azure Monitor, Application Insights, Grafana, Microsoft Power Platform, Copilot Studio, Microsoft 365 administration, RBAC, Entra ID, and tenant administration.
Experience implementing security, compliance, and DLP policies using least-privilege access and operational governance practices.
Knowledge of Bicep, Terraform, Azure Policy, Key Vault, API Management, Service Bus, Event Grid, Apache Kafka, Elastic, Azure AI Search, and Cosmos DB.
Knowledge of enterprise networking and edge-security platforms such as DNA, Fortinet, and Akamai is an asset.
Working knowledge of AI/ML operations, model lifecycle support, telemetry, governance controls, human-in-the-loop practices, production monitoring, and ITIL/ITSM processes.
Strong troubleshooting, root-cause analysis, prioritization, documentation, collaboration, service orientation, and continuous-improvement skills.

1,001-5,000 employees