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Added 14 mins ago
Growth & Product Marketing Manager
SkyWatch
Remote, Canada
Full-time · Remote
…with our API, or a data provider seeking to sell to our user network, you can do it with…
Added 1 hour ago
Analytics Engineer, Network Intelligence
Xplore Inc.
Canada
Full-time
You will own the semantic layer, curated Gold-tier analytical datasets across both on-prem and cloud data platforms, and Databricks AI/BI dashboards that surface real-time and historical…
Added 2 hours ago
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 2 hours ago
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…
Added 2 hours ago
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
…speeds, coverage and reliability on Canada’s Best National Network. We love to innovate, embrace big challenges, and live for the newest…
Added 2 hours ago
Forward Deployed Engineering, US Oncology
Urban Ridge Supplies
Mississauga, ON
Full-time
The US Oncology Network is seeking a Lead Forward Deployed Engineer (FDE) to partner directly with business and operational teams to turn complex, high-value problems into validated…
Added 2 hours ago
Senior Software Engineer (AI Integration & Modernization)
Urban Ridge Supplies
Markham, ON
Full-time
We are hiring a Senior Software Engineer to own the design and delivery of production AI capabilities across a broad portfolio of software businesses. You will work directly with product…
Added 2 hours ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 2 hours ago
Machine Learning Engineer, Lyft Business & Ads
Urban Ridge Supplies
Toronto, ON
Full-time
…behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence…
Added 2 hours ago
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
…speeds, coverage and reliability on Canada’s Best National Network. We love to innovate, embrace big challenges, and live for the newest…
Added 2 hours ago
Senior Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
The Senior Applied AI Engineer is responsible for designing, developing, and deploying advanced Gen AI and machine learning solutions that
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Forward Deployed Engineer
Urban Ridge Supplies
Mississauga, ON
Full-time
The US Oncology Network is seeking a Lead Forward Deployed Engineer (FDE) to partner directly with business and operational teams to turn complex, high-value problems into validated…
Added 2 hours ago
Lead Software Engineer, AI & Emerging Tech
Urban Ridge Supplies
Toronto, ON
Full-time
As a Lead Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise, you will drive the design, development, and deployment of next-generation tech and…
Added 4 hours ago
Senior Security Engineer
PheedLoop Events
Toronto, ON
Full-time
Comfort in modern stacks like Python / Django, React, and AWS. You don't need to be a senior software engineer, but you can read application code, understand a deployment pipeline, and…
Added 7 hours ago
Integration Co-op
Ericsson
Toronto, ON · Mississauga, ON · ON
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…implement and verify the configuration and integration of a node, network and/or system. Your scope of work could include the scenarios of introduction, upgrade expansion, functionality,…
Added 9 hours ago
Senior Data Engineer – Ingénieur des données
KPI Digital Solutions
Montreal, QC
Other
We are looking for a Data Engineer that combines Data Engineering, platform architecture and management expertise. The Data Engineer will:
Added 9 hours ago
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Digital Solutions
Montreal, QC
Other
We are seeking an AI Engineer with deep technical expertise and a passion for cutting-edge innovation in artificial intelligence and machine learning. As part of our AI & Advanced Analytics…
Added 10 hours ago
Associate or Vice President Full Stack Engineer
BMO Capital Markets
Toronto, ON
Part-time
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 12 hours ago
Software Engineer III
LodgeLink
Calgary, AB
Full-time
LodgeLink is hiring a Software Engineer III in Calgary to join our team and help create the future of workforce travel. We are seeking a talented engineer with a passion for building…
Added 14 hours ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering teams to enhance…
Added 14 hours ago
Software Developer
Cisco
Montreal, QC
Full-time
…meaningful and efficient manner, implement it. As part of this, the engineer is encouraged to collaborate with various teams including PM, cross functional teams and TMEs. You're expected…
Added 15 hours ago
Remote Backend Java Engineer
IntelliPro Group Inc.
Remote, Canada
Contract · Remote
Our client is a large, fast-growing technology company in the retail space, serving millions of customers and a broad network of retail and brand partners. The team is building products…
Added 15 hours ago
Security Researcher Engineer
J&M Group
Toronto, ON
Full-time
Hands-on Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging cybersecurity capabilities, especially AI/GenAI and Agentic AI security.
Added 17 hours ago
Sr. Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Sr. Software Development Engineer to lead the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects,…
Added 17 hours ago
Software Technical Leader
Cisco
Fredericton, NB
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform

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

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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.

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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

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