Senior AI Platform Operations Engineer
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Job Summary
Purpose of Job
The Senior AI Platform Operations Engineer is accountable for the reliability operability and controlled enablement of the organizations AI platform.
This role ensures that AI Platform services and solutions are production-ready secure observable and compliant by executing disciplined operational practices across platform management monitoring incident coordination and governance control enforcement.
The incumbent plays a key role in enabling the safe and scalable adoption of AI by ensuring that AI solutions are deployed monitored supported and continuously improved in line with enterprise standards for reliability security and compliance
Main Activities
AI Platform Reliability and Operations
Administer and operate the AI platform to ensure availability performance and resilience across environments integrations and supporting infrastructure.
Monitor platform health using dashboards logs metrics and alerts and coordinate incident and service restoration activities.
Lead operational triage escalation coordination and post-incident reviews to strengthen services stability and resilience.
Track and report on service reliability indicators incident trends and operational performance.
AI Platform Enablement & Production Readiness
Enable approved AI use cases into production by ensuring:
o Environment readiness
o Dependency validation
o Completion of operational readiness checklists
o Structured service transition activities
Support platform lifecycle management through:
o Release coordination
o Change readiness validation
o Maintenance and capacity planning.
Ensure AI platform changes meet defined operational and control readiness criteria prior to release
Observability Automation & AI Ops
Implement and maintain observability capabilities including telemetry logging metrics and traces required for enterprise AI operations.
Analyze operational data to identify anomalies recurring issues root-cause patterns.
Implement AI Ops use cases such as:
o Alert correlation
o Anomaly detection
o Root-cause support
o Forecasting and predictive insights
o Automation of repetitive operational tasks.
Continuously improve operational efficiency through targeted automation and process optimization.
Governance Risk & Control Execution
Execute governance controls for AI solutions including:
o Usage and access controls
o Data privacy considerations
o Auditability and traceability
o Human oversight requirements
Ensure operational practices align with enterprise security policies risk controls and compliance requirements.
Maintain documentation and evidence required for audit governance reviews production readiness checkpoints and control validation.
Identify control gaps and escalate risks appropriately to relevant governance and risk stakeholders.
AI Asset Visibility & Operational Integrity
Maintain operational visibility of AI platform assets required for monitoring support and cost alignment.
Validate asset ownership relationships and lifecycle status in collaboration with application and platform owners.
Support ongoing audits to ensure AI assets and associated cost attribution remain accurate and current.
Knowledge/Skill Requirements
5-7 years of experience in platform operations site reliability engineering DevOps cloud operations or enterprise IT operations.
Strong experience supporting production platforms and services including monitoring incident response problem management service restoration and operational reporting.
Technical Expertise:
Experience with cloud platforms observability automation configuration management and integration patterns including Azure Automation runbooks (PowerShell/Python) Azure AI Copilot integrations AKS virtual networks (hub-and-spoke) and App Service.
Expertise with observability tools such as Azure Monitor Application Insights and Grafana.
Experience with CI/CD and automation tools such as Azure DevOps GitHub Actions and Logic Apps.
Knowledge of configuration management and infrastructure-as-code tools such as Bicep Terraform Azure Policy Key Vault and relevant open-source technologies.
Knowledge of integration and event-driven technologies such as API Management open-source API tools Service Bus Event Grid and Apache Kafka.
Working knowledge of platform-supporting data and search services such as Elastic Azure AI Search and Cosmos DB.
Knowledge of enterprise network edge security and related internal platforms such as DNA Fortinet and Akamai is an asset.
Additional Capabilities:
Working knowledge of AI/ML operational concepts including model lifecycle support telemetry governance controls human-in-the-loop practices and production monitoring.
Strong understanding of ITIL/ITSM processes including change release incident problem configuration and service reporting practices.
Analytical and structured thinker with strong troubleshooting root-cause analysis prioritization and continuous improvement skills.
Strong service orientation professional maturity and the ability to collaborate effectively across operations engineering security risk data and business teams.
Experience creating technical documentation operational procedures support playbooks dashboards and user guidance materials.
Knowledge of security privacy audit and compliance considerations relevant to enterprise AI and platform operations.
Job Complexities / Thinking Challenges
This role requires balancing platform reliability operational efficiency and governance discipline in a rapidly evolving AI environment.
Required Experience:
Senior IC
About Company
At Equitable Bank, we specialize in providing branchless financial services that meet the unique needs of all Canadians. Our range of mortgages, savings accounts and investment options are designed to offer the right solutions to match any unique circumstance.
