Senior AI Cloud Engineer: Scale Secure GenAI at Enterprise

BMO U.S.; Toronto; On-site; CAD 148,000 - 304,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Retirement savings plan

Job summary

BMO is seeking a Principal AI & Cloud Engineer to design, build, and scale cloud-native AI solutions across Azure and AWS. You will set engineering standards, mentor staff, and partner with multiple teams to deliver secure, cost-efficient AI at scale.

The role spans model serving, LLMOps, security, observability, and governance, with a strong emphasis on FinOps and responsible AI practices. Toronto-area team; hybrid and in-house collaboration encouraged.

Qualifications

• Bachelor’s/Master’s/PhD in CS, Engineering, or related field.
• 7+ years building large-scale distributed cloud infrastructure.
• 5+ years hands‑on with Azure/AWS.
• Proven experience with AI/ML infra: GPU clusters, Kubernetes, CI/CD, observability.

Responsibilities

• Design, build, and operate cloud-native AI infrastructure for ML/GenAI workloads.
• Define reference architectures for cloud AI platforms and multi-region deployments.
• Lead infrastructure discovery and solution design with stakeholders.
• Mentor engineers; create reusable IaC modules and golden paths.

Skills

Python

Go/TypeScript

CI/CD

Observability

Security

DevSecOps

Education

Bachelor’s/Master’s/PhD in CS/Engineering

Tools

Azure

AWS

Kubernetes

Terraform/Bicep

CI/CD tooling

Job description

BMO is seeking a Principal AI & Cloud Engineer to design, build, and scale cloud-native AI solutions across Azure and AWS. You will set engineering standards, mentor staff, and partner with multiple teams to deliver secure, cost-efficient AI at scale.

The role spans model serving, LLMOps, security, observability, and governance, with a strong emphasis on FinOps and responsible AI practices. Toronto-area team; hybrid and in-house collaboration encouraged.