Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Provide hands-on technical leadership for enterprise AI platform design, implementation, automation, observability, and production readiness. Ensure platform services are secure, resilient, supportable, and compliant with enterprise standards for reliability, monitoring, incident coordination, and governance.
Job details
Permanent Rate: $120-140k per year JOB DESCRIPTION Insight Global is looking for a Lead AI Engineer to join a leading bank based in Toronto. You will be part of the Cloud Engineering Infrastructure team supporting the platform operations. Insight Global is looking for a Lead AI Engineer to join a leading bank based in Toronto. You will be part of the Cloud Engineering Infrastructure team supporting the platform operations. The Lead AI Platform Engineer is accountable for technical leadership, engineering excellence, reliability, operability, and the controlled enablement of the organization’s enterprise AI platforms. This role provides hands-on technical leadership across AI platform design, implementation, automation, observability, and production readiness. The incumbent ensures AI platform services and solutions are secure, resilient, observable, supportable, and compliant with enterprise standards for reliability, security, platform management, monitoring, incident coordination, and governance control enforcement. REQUIRED SKILLS AND EXPERIENCE -7 years experience (platform operations, site reliability engineering, DevOps, cloud operations, or enterprise IT operations) -5+ years with power platform environments with demonstrated experience leading technical delivery, engineering standards, production readiness, incident response, problem management, service restoration, and operational reporting for enterprise platforms -Strong experience with Microsoft Foundry and Azure -Strong expertise with observability tools such as Azure Monitor, Application Insights, Log Analytics, Grafana, dashboards, alerting, and operational telemetry design. -Knowledgeable in AI, having worked with Microsoft foundry NICE TO HAVE SKILLS AND EXPERIENCE -Knowledge of enterprise network, edge security, identity, access management, and related internal platforms such as DNA, Fortinet, and Akamai We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position. Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.
What you’ll do
Provide hands-on technical leadership for enterprise AI platform design, implementation, automation, observability, and production readiness. Ensure platform services are secure, resilient, supportable, and compliant with enterprise standards for reliability, monitoring, incident coordination, and governance.
Requirements
Requires at least seven years of experience in platform operations, site reliability engineering, DevOps, cloud operations, or enterprise IT operations, plus five or more years working with Power Platform environments. Candidates should have strong Microsoft Foundry and Azure experience, expertise with observability tools, and knowledge of AI; enterprise networking, edge security, identity, and access management are desirable.
Listed skills
- Microsoft Azure · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Platform Operations
- Site Reliability Engineering
- DevOps
- Cloud Operations
- Microsoft Foundry
- Microsoft Azure
- Observability
- Azure Monitor
- Application Insights
- Log Analytics
- Grafana
- AI Platform Engineering
- Incident Response
- Problem Management
- Production Readiness
- Operational Telemetry Design
Job areas
- Technology
- Software
- Engineering
- Management & Leadership
- Security & Safety
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