Find work in Canada.

334,902 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 14 mins ago
Senior Backend Engineer
Woodbine Entertainment
Toronto, ON · Woodbine HQ
Full-time
The Sr. Backend Engineer is responsible for the operational health, administration, security, reliability, and continuous improvement of enterprise business platforms, data integration…
Added 28 mins ago
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
Full-time
…Core Engineering, Networking, and other SRE groups as part of Cloud Infrastructure & Platform Engineering (CI&PE), serving as subject matter experts in cloud technologies, systems…
Added 29 mins ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while…
Added 41 mins ago
Senior Data Engineer (Databricks)
KTek Resourcing
Toronto, ON
Full-time
Experience with Azure Data Factory, Synapse Analytics, or equivalent cloud-native services.
Added 41 mins ago
Senior Data Engineer, Network Intelligence
Xplore Inc.
Canada
Full-time
As a Senior Data Engineer on the Network Intelligence team, you will own the end-to-end data pipeline function that powers Xplore's network analytics, observability, and AI capabilities…
Added 57 mins ago
Senior Data Engineer (Databricks)
KTek Resourcing
Toronto, ON
Contract
Experience with Azure Data Factory, Synapse Analytics, or equivalent cloud-native services.
Added 58 mins ago
Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Ottawa, ON
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 hour ago
Forward Deployed AI Engineer
AGF Investments
Toronto, ON
Full-time
The Forward Deployed AI Engineer is a hands-on technical expert responsible for partnering directly with business stakeholders to identify opportunities, design solutions, and build…
Added 1 hour ago
Infrastructure Monitoring & Automation Engineer
BULL INFORMATION SYSTEMS LIMITED
Toronto, ON
Full-time
Cloud platform exposure including Azure, AWS, or GCP.
Added 1 hour ago
SR Azure Databricks Engineer
Cognizant
Toronto, ON
Full-time
This hybrid role for an experienced data engineer and data architect focuses on designing and optimizing enterprise data platforms using Databricks for a global organization in the life and…
Added 1 hour ago
AI Platform Engineering Lead
AGF Investments
Toronto, ON
Full-time
…model is identified, permissioned, monitored, and auditable. Platform scope include but are not limited to Databricks, Microsoft Copilot Studio, Azure AI Foundry, Anthropic Claude, and…
Added 1 hour ago
Consultant, Application Developer (Data Engineer)
CIBC
Toronto, ON
Full-time
…back-end systems. As the Consultant, Application Developer (Data Engineer), you’ll exercise significant judgement and autonomy, own key technical decisions, lead impact analysis and design…
Added 1 hour ago
Analytics Engineer
Cymax Group Technologies
Vancouver, BC
$100,000 to $120,000 CAD / year
Freight Club is building out its Analytics & Insights function, and we’re looking for an Analytics Engineer to help build the data foundation that everything else depends on. This is a…
Added 1 hour ago
Sr. Power Platform Developer
Softchoice
NL · Toronto, ON · Oakville, ON · Vancouver, BC · NB · NS · AB · BC · Nova Scotia, Nova · British Columbia, Brit
…team who assists clients in the adoption of Microsoft Power Platform at an enterprise level. The Engineer, Low-Code guides clients on employing Power Platform tools - Copilot Studio, Power…
Added 1 hour ago
Senior Systems Engineer
Aviso
Vancouver, BC
$110,000 to $120,000 CAD / year
Full-time
Reporting to the Director, Technology Support Services, the Senior Systems Engineer is responsible for independently operating, engineering, and improving Aviso's hybrid infrastructure…
Added 1 hour ago
Senior Software Engineer - Full Stack - .NET
Bankjoy
Remote, Canada
Full-time · Remote
As a Senior Software Engineer within our Digital Banking platform, you will be instrumental in the development and maintenance of robust, secure, and scalable software solutions to power…
Added 1 hour ago
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 hour ago
Copy of Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 hour ago
Data Analyst
Cymax Group Technologies
Vancouver, BC
$100,000 to $120,000 CAD / year
Full-time
Freight Club is building out its Analytics & Insights function, and we’re looking for an Analytics Engineer to help build the data foundation that everything else depends on. This is a…
Added 1 hour ago
Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Ottawa, ON
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 1 hour ago
Platform Engineer
Slalom
Montreal, QC
Full-time
We’re looking for a Senior Platform Engineer to join a North America-based team focused on delivering secure, scalable automation and cloud platforms. This role is about enabling teams to…
Added 1 hour ago
Platform Solution Architect
Slalom
Montreal, QC
Full-time
We’re looking for a Senior Platform Engineer to join a North America-based team focused on delivering secure, scalable automation and cloud platforms. This role is about enabling teams to…
Added 1 hour ago
Systems Engineer
Greenfield Global Inc.
Mississauga, ON
The Systems Engineer is accountable for the technical health, reliability, security, recoverability, and ongoing evolution of assigned enterprise platforms and services. The role leads the…
Added 2 hours ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
…Core Engineering, Networking, and other SRE groups as part of Cloud Infrastructure & Platform Engineering (CI&PE), serving as subject matter experts in cloud technologies, systems…
Added 2 hours ago
Copy of Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Calgary, AB
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…

BMO

Principal AI Cloud Engineer

Toronto, ON, Canada
FCP, Canada

Pay: $105,000.00 - $215,000.00
Job type: Full-time
Apply by: Dec 1, 2026
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

Application Deadline:

11/30/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

The Team - We accelerate BMO’s AI journey by building cloud-native AI solutions. Our team combines engineering excellence with cutting-edge AI to deliver scalable, secure, and responsible solutions that power business innovation across the bank. We enable and accelerate our partners on their AI journeys across the enterprise, helping teams across BMO unlock value at scale. We support one another in times of need and take pride in our work. We are engineers, AI practitioners, platform builders, thought leaders, multipliers, and coders. Above all, we are a global team of diverse individuals who enjoy working together to create smart, secure, and scalable solutions that make an impact across the enterprise. Our ambition is bold: deploy our capital and resources to their highest and most profitable use through a digital-first operating model, powered by data and AI-driven decisions.

The Impact
As a Principal AI & Cloud Engineer , you are a hands-on technical developer who designs, builds, and scales cloud-native AI solutions and products. You help set engineering standards, establish patterns, mentor senior engineers, and partner with multiple teams to deliver resilient, governed, and cost-efficient AI at enterprise scale. You’ll help shape and evolve our AI cloud strategy from model serving and LLMOps to security, observability, and compliance so teams across the bank can innovate safely and rapidly.

You will advance BMO’s Digital First strategy by:

Defining reference and production-grade solutions for AI/GenAI on cloud (Azure/AWS preferred; multi-cloud aware).
Building reusable, secure, and observable components (APIs, SDKs, microservices, pipelines).
Operationalizing LLMs and RAG with strong controls and Responsible AI guardrails.
Driving platform roadmaps that enable faster delivery, lower risk, and measurable business outcomes.

What’s In It for You

Influence the technical direction of AI and the platform primitives others build on.
Ship high-impact systems used across many business lines and products.
Work across the full stack: cloud infra, data/feature pipelines, model serving, LLMOps, and DevSecOps.
Partner with a leadership team invested in your growth and thought leadership.

Responsibilities Infrastructure & Platform Builder

Design, build, and operate cloud-native AI infrastructure for ML/GenAI workloads:
Compute: GPU/CPU clusters, autoscaling, spot instance strategies
Networking: Azure VNet, Private Link, peering, multi-region HA/DR
Storage & Databases: high-performance data lakes (e.g., Azure Data Lake Storage), relational DBs, vector DBs (FAISS, Milvus, Pinecone, pgvector)
Security: IAM, Key Vault-backed secrets management, encryption, policy-as-code
Implement observability and reliability for AI infra:
Metrics (latency, throughput, GPU utilization, cost)
Logging/tracing (OpenTelemetry), SLOs/SLIs for infra services
Build CI/CD and GitOps pipelines for infrastructure-as-code (Terraform/Bicep) and AI platform components
Drive FinOps for AI infra: GPU rightsizing, caching, inference optimization, cost governance

Application & Service Enablement

Enable frontend and backend services for AI platforms:
Secure APIs, microservices, and event-driven architectures
Integration with custom model runtimes (TensorRT-LLM, vLLM, Triton/KServe)
Provide infrastructure support for RAG systems: embeddings, chunking, retrieval pipelines
Ensure scalable serving infrastructure for LLMs and ML models with caching and token optimization

Strategy & Architecture

Define and evolve AI infrastructure reference architecture for cloud (Azure preferred):
Container orchestration (Kubernetes), service mesh, ingress
Serverless/event-driven patterns for AI pipelines
Multi-region, HA/DR, compliance-ready designs
Establish standards and best practices for containerization, IaC, and secure networking for AI systems

Security, Risk & Governance

Implement defense-in-depth for AI infra:
IAM least privilege, private networking, KMS/Key Vault, SBOM, image signing
Ensure compliance and Responsible AI controls at infra level:
Data residency, encryption, lineage, audit readiness

Delivery & Operations

Lead infrastructure discovery and solution design with stakeholders
Operate platforms with SRE principles: error budgets, incident response, chaos testing
Mentor engineers; create reusable IaC modules, templates, and golden paths

Must-Have 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
Strong in IaC (Terraform/Bicep), Kubernetes, networking, security
Expertise in cloud-native patterns: containers, service mesh, serverless
Familiarity with MLOps/LLMOps infra: model serving, feature stores, vector DBs
Programming in Python (infra automation) and one of Go/TypeScript for tooling
Understanding of frontend/backend integration for AI services
Familiarity with MLOps/LLMOps infra: model serving, feature stores, vector DBs
Programming in Python (infra automation) and one of Go/TypeScript for tooling
Understanding of frontend/backend integration for AI services

Nice-to-Have

GPU optimization (CUDA/NCCL, TensorRT-LLM)
Observability tools (Prometheus, Grafana, OpenTelemetry)
Event streaming (Kafka/Azure Event Hubs), real-time systems
Experience with AI platform products (Azure ML, MLflow, KServe, Hugging Face)

Success Metrics

Reliability & Performance: SLOs met for infra services, GPU utilization optimized
Security & Compliance: Zero critical findings, auditable infra
Cost Efficiency: Reduced GPU/infra spend via FinOps strategies
Developer Velocity: Faster provisioning and deployment of AI infra
Technical Leadership: Influence on infra standards, mentorship, reusable patterns

Salary:

$105,000.00 - $215,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply About employer

More about this job

Responsibilities

The Principal AI Cloud Engineer designs, builds, and scales cloud-native AI infrastructure and products to support enterprise-wide AI initiatives. They are responsible for establishing engineering standards, mentoring senior staff, and ensuring secure, governed, and cost-efficient AI operations.

Requirements

Candidates must possess a Bachelor's, Master's, or PhD in a relevant field and at least 7 years of experience in large-scale distributed cloud infrastructure. Proficiency in Azure or AWS, Kubernetes, IaC tools, and AI/ML infrastructure patterns is required.

Skills

Cloud infrastructure
Azure
AWS
Kubernetes
Python
Go
TypeScript
Terraform
Bicep
Machine learning
LLMOps
Generative AI
CI/CD
Observability
Networking
Security

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans

Visa sponsorship

Not detected in the job text

Keywords

Cloud-native
AI
GenAI
Azure
AWS
Kubernetes
Terraform
Bicep
Python
Go
TypeScript
LLMOps
MLOps
RAG
GPU
FinOps
CI/CD
GitOps
OpenTelemetry
Vector databases
Service mesh
IAM
Security
Distributed systems
Data lakes
Infrastructure-as-code
Microservices
API
Compliance
Observability

Report this job