About the Role
As a Senior Azure Cloud AI Engineer
, you will play a hands‑on senior engineering role within BMO’s Azure cloud and Applied AI ecosystem. You will be responsible for designing, building, and operating secure, scalable Azure infrastructure and platform services that enable data, AI, and Generative AI workloads at scale.
This role blends deep technical execution with strong cross‑functional collaboration. You will work in agile, cross‑functional pods with cloud engineering, data engineering, AI/ML teams, and security and risk partners to evolve BMO’s Azure cloud services. You will help define and implement AI‑ready Azure architectures and guide teams in adopting cloud‑native and AI‑native patterns while maintaining high standards for security, reliability, and operational excellence.
Key Responsibilities
Cloud Engineering & Platform Delivery
Design, build, and operate Azure cloud infrastructure and shared platform services supporting AI, GenAI, data, and digital workloads.
Implement and maintain Azure landing zones, subscriptions, networking, identity, and governance.
Build cloud‑native solutions using Azure PaaS, containers, and managed services.
Ensure platforms meet requirements for scalability, resilience, performance, cost efficiency, and reuse.
Apply Dev Ops and SRE practices, including CI/CD, monitoring, alerting, and operational readiness.
AI & GenAI Platform Enablement
Enable AI and Generative AI workloads on Azure through secure, standardized platform capabilities.
Support AI experimentation and production workloads using Azure AI services and approved tooling.
Implement secure service‑to‑service authentication using managed identities and least‑privilege access.
Partner with AI and data teams to operationalize AI solutions with production‑grade non‑functional requirements.
Infrastructure as Code & Automation
Design and maintain Infrastructure as Code using Bicep, ARM, Terraform, or CDK‑based frameworks.
Create reusable, modular deployment patterns that balance self‑service with governance.
Automate environment provisioning, configuration, and policy enforcement across environments.
Security, Governance & Risk
Apply security‑by‑design principles across identity, networking, encryption, secrets management, and auditability.
Ensure Azure solutions comply with security, privacy, data governance, and regulatory requirements.
Support architecture reviews, risk assessments, and audits in partnership with security and risk teams.
Design platforms with observability, traceability, and operational controls enabled by default.
Required Technical Skills & Competencies
Core Azure Cloud Engineering (Must-have)
Hands‑on experience engineering solutions on Microsoft Azure in large‑scale or regulated environments.
Strong understanding of Azure networking, identity, access management, and governance.
Experience designing for scalability, reliability, performance, and cost efficiency.
Proven ability to troubleshoot and operate production Azure environments.
Infrastructure as Code & Dev Ops (Must-have)
Experience with Infrastructure as Code using Bicep, ARM, Terraform, or similar tools.
Experience building and operating CI/CD pipelines for infrastructure and application delivery.
Familiarity with IAM models, role definitions, and least‑privilege access patterns.
Cloud‑Native Integration & APIs (Must-have)
Experience with Azure API Management or similar API gateway solutions.
Understanding of secure service exposure, rate limiting, and API lifecycle management.
AI / GenAI Cloud Enablement (Nice‑to‑Have)
Experience enabling AI or Generative AI workloads on Azure from a cloud and platform perspective.
Familiarity with Azure AI services and AI‑ready infrastructure patterns.
Understanding of secure experimentation and production deployment of AI workloads in regulated environments.
Reliability & Observability (Nice‑to‑Have)
Experience implementing monitoring, logging, alerting, and operational dashboards.
Familiarity with SRE concepts such as SLIs, SLOs, and resilience patterns.
Qualifications & Experience
4+ years of experience in cloud engineering, platform engineering, or infrastructure roles.
Proven experience delivering and…
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