Lead AI Platform Engineer

EQ Bank | Equitable Bank

. Lead the engineering, configuration, and operation of enterprise AI platforms to ensure availability, performance, resilience, and scalability .

Posted 9/15/2026full-timeToronto • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in platform engineering and site reliability engineering, with a strong focus on cloud operations, observability, and automation. Capable of leading technical delivery, incident response, and operational reporting while ensuring compliance with engineering and security standards.

Highest-signal resume keywords

Platform EngineeringSite Reliability EngineeringCloud OperationsObservability DesignAutomation Initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Incident ResponseRoot-Cause AnalysisService RestorationOperational ReportingConfiguration ManagementCI/CDInfrastructure-as-CodeTechnical DocumentationAI/ML Operational ConceptsRisk Assessment

Soft Skills

Technical LeadershipMentoringPrioritizationContinuous Improvement

Tools & Technologies

Azure AutomationAzure MonitorGrafanaAzure DevOpsTerraformBicepApplication InsightsLog AnalyticsAzure AICosmos DB

Industry Keywords

ITILITSMGovernance ControlsHuman-in-the-Loop PracticesResponsible AI

Tech Stack

Tools & technologies

ApacheAzureCloudGrafanaITSMKafkaTerraformVault

About the role

Key responsibilities & impact

Lead the engineering, configuration, and operation of enterprise AI platforms to ensure availability, performance, resilience, and scalability
Define and implement platform engineering patterns, standards, reusable components, and operational guardrails
Lead platform triage, incident resolution, escalation coordination, and post-incident reviews
Track and report service reliability indicators, incident trends, engineering risks, and operational performance improvements
Enable approved AI use cases in non-production and production environments through environment readiness, dependency validation, release readiness, operational supportability, and service transition planning
Partner with architecture, security, cloud, infrastructure, delivery, and application teams on secure, supportable, scalable platform implementations
Guide release coordination, change readiness, maintenance planning, capacity planning, and technical risk mitigation
Ensure AI platform changes meet engineering, operational, security, and control readiness criteria
Design and improve observability capabilities including telemetry, logging, metrics, traces, dashboards, and alerting
Lead automation initiatives to reduce manual effort, improve reliability, and standardize operational activities
Analyze operational data for anomalies, recurring issues, root-cause patterns, performance bottlenecks, and service improvement opportunities
Implement AI Ops use cases including alert correlation, anomaly detection, forecasting, root-cause support, knowledge retrieval, and repetitive-task automation
Mentor engineers on observability, automation, troubleshooting, and service reliability
Embed governance, security, privacy, auditability, traceability, and human oversight into AI platform engineering
Assess implementation risks, close control gaps, maintain audit and governance evidence, and escalate technical and control risks
Maintain visibility of AI platform assets, validate ownership and configuration integrity, and promote engineering standards and reusable patterns

Requirements

What you’ll need

University degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience
7+ years of experience in platform engineering, site reliability engineering, DevOps, cloud operations, enterprise IT operations, or production platform support
Experience leading technical delivery, engineering standards, production readiness, incident response, problem management, service restoration, and operational reporting for enterprise platforms
Advanced experience with cloud platforms, observability, automation, configuration management, and integration patterns
Experience with Azure Automation runbooks, Azure AI, Copilot integrations, AKS, virtual networks, App Service, and supporting Azure services
Expertise with Azure Monitor, Application Insights, Log Analytics, Grafana, dashboards, alerting, and operational telemetry design
Experience with CI/CD, automation, and infrastructure-as-code tools including Azure DevOps, GitHub Actions, Logic Apps, Bicep, Terraform, Azure Policy, and Key Vault
Knowledge of API Management, open-source API tools, Service Bus, Event Grid, and Apache Kafka
Working knowledge of Elastic, Azure AI Search, Cosmos DB, and related data platform capabilities
Knowledge of enterprise network, edge security, identity, access management, DNA, Fortinet, and Akamai is an asset
Working knowledge of AI/ML operational concepts, model lifecycle support, platform telemetry, governance controls, human-in-the-loop practices, responsible AI, and production monitoring
Understanding of ITIL/ITSM processes including change, release, incident, problem, configuration, service reporting, and operational risk practices
Technical leadership, mentoring, standards development, implementation guidance, and complex cross-functional delivery coordination
Advanced troubleshooting, root-cause analysis, prioritization, risk assessment, and continuous improvement skills
Experience creating technical documentation, engineering patterns, operational procedures, support playbooks, dashboards, and user guidance materials

Benefits

Comp & perks

Full-time employment
Hybrid work arrangement