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Added 2 days ago
AI Engineer
BMO
Toronto, ON · BMOPLACE
We are seeking an innovative AI Engineer to help drive the next generation of intelligent solutions across the enterprise. In this role, you will design, develop, deploy, and optimize…
Added 3 days ago
T
Google Big Data Platform Engineer II
TD
Toronto, ON
- Full-time
Manage cloud security controls, including GCP Secret Manager, PKI, data encryption, and VPC Service Controls
Added 3 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert…
Added 3 days ago
L
Senior Product Manager, Firm Intelligence Platform
Litera
Toronto, ON · Canada-Toronto, ON-Office
- Full-time
As a Senior Product Manager for the Firm Intelligence Platform, you’ll own the vision, strategy, and roadmap for the foundational layer that turns the data flowing through a law firm’s work…
Added 3 days ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 3 days ago
Software Engineer III
Electronic Arts
Vancouver, BC
You will work with us to build automated testing frameworks and evaluation tools, applying AI and machine learning to expand our test coverage. You will report to our Engineering Manager.
Added 4 days ago
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 4 days ago
H
Data & ML Platform Engineer (Hybrid)
Homebase
Remote, Canada
- $110,000 to $160,000 CAD / year
- Full-time
- Remote
Every data and AI feature at Homebase runs on the platform you’ll help build. Our AI-powered product work is moving fast, and the platform underneath it has to move faster. You’ll be one of…
Added 5 days ago
M
Project Manager, Artificial Intelligence
Maarut
Montréal-Est, QC · Quebec city/Montreal, Quebec
- Contract
Data scientist or ML engineer profile with no demonstrated
Added 5 days ago
B
Senior AI Engineer for Observability
BMO
Toronto, ON · BMOPLACE
- Full-time
Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
Added 5 days ago
S
Backend / API Engineer, Radar
Stripe
Toronto, ON
- Full-time
As a software engineer on Radar, you’ll build products and infrastructure that help businesses understand and stop fraud and abuse. Your work will span backend services, enterprise APIs,…
Added 5 days ago
M
In-House Technical Recruiter
Mendable
Toronto, ON
- $160,000 to $179,000 USD / year
- Full-time
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It’s the boring-hard problem…
Added 5 days ago
N
Software Engineer - C++/Linux - Envoy Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
You will report to a seasoned Technical Manager who will provide mentorship and guidance as you navigate through your responsibilities. The work setup at Nutanix AI is a hybrid model,…
Added 5 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Engineer trusted and audit-ready data through reconciliation, effective-dating, lineage, entitlements, data-quality controls, and traceability across the data lifecycle.
Added 5 days ago
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Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Design, build, and support scalable data pipelines, models, and analytical data products that enable deeper business insights and data-driven decision-making. This role combines hands-on…
Added 6 days ago
F
In-House Technical Recruiter
Firecrawl
Toronto, ON
- $160,000 to $179,000 USD / year
- Full-time
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It’s the boring-hard problem…
Added 6 days ago
PS
ML/NLP Engineer
PRESCRIRE Solutions
Montreal, QC
- Full-time
Model Training Pipeline: Create robust training pipelines using clinical data with expert validation loops.
Added 6 days ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You will design, deploy, and scale low-latency ML and LLM recommendation pipelines that feed real-time predictive data into core travel applications. You will own the entire lifecycle of…
Added 9 days ago
RB
Manager, ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Reporting to the Director, Credit & Stress Testing Implementation Assurance, the Manager, ML Engineer will apply business and technical knowledge to turn models into production-grade…
Added 9 days ago
R
Manager, ML Engineer
RBC
Toronto, ON
- Full-time
Reporting to the Director, Credit & Stress Testing Implementation Assurance, the Manager, ML Engineer will apply business and technical knowledge to turn models into production-grade…
Added 10 days ago
T
AI / ML Product Engineer
TD
Toronto, ON
- Full-time
We are looking for an AI Platform Product Engineer who can lead AI initiatives from idea to production, and who can teach our engineers to build with AI. This person is technical enough to…
Added 10 days ago
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Data Scientist
BMO
Toronto, ON · BMOPLACE
- Full-time
…mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data…
Added 10 days ago
T
Azure Google AI/ML Platform Engineer II
TD
Toronto, ON
- Full-time
As an experienced Platform Engineer, you own services end-to-end. You design the Terraform modules, the GitHub Actions pipelines, the security model, and the operational story for an entire…
Added 10 days ago
S
Staff Software Engineer, Risk Engineering
Stripe
Toronto, ON
- Full-time
As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening…
Added 10 days ago
AI and Data - Manager - AI Engineer
EY
AB · Calgary, AB
As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team,…

Azure Google AI/ML Platform Engineer II

Toronto, ON, Canada

$154,000 - $199,500 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. · Full-time

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Job details

Pay: $154,000 - $199,500 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually.
Job type: Full-time
Experience: 5+ years of cloud platform or infrastructure engineering experience, with deep IaC delivery on at least one of Azure or Google Cloud.
Posting language: English
Posted: Oct 16, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$154,000 - $199,500 CADThis role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Our mission is to advance TD by enabling secure, scalable Azure and Google Cloud AI/ML capabilities across the enterprise to solve business problems with AI and deliver solutions to customers faster. We are a multi-cloud Platform Engineering team, building Infrastructure as Code (IaC), automated testing frameworks, and self-service tooling that allow lines of business to consume cloud services safely within a financial services environment.

As an experienced Platform Engineer, you own services end-to-end. You design the Terraform modules, the GitHub Actions pipelines, the security model, and the operational story for an entire cloud service. You provide technical oversight to other engineers for code review, design feedback, and mentorship. You raise the bar on quality, security, and developer experience for the entire platform.

You will work across a modern, opinionated platform stack: Terraform and the native Azure/Google SDKs for IaC; Python for automation and tooling; GitHub Actions for CI/CD; and a security-first toolchain spanning RBAC/IAM, Active Directory, PingFederate, PKI, Key Vault / Secret Manager, and policy-as-code. The services in scope include Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Bot Service, Azure ML, and Google Vertex AI.

KEY ACCOUNTABILITIES

Own end-to-end delivery of Infrastructure as Code for one or more cloud AI services - Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Bot Service, Azure ML, or Google Vertex AI - from Terraform module design and pipeline plumbing through to production rollout and Day-2 operations.

Design platform abstractions that let application teams self-serve safely: opinionated Terraform modules, GitHub Actions reusable workflows, Python CLIs and SDKs, and golden paths that bake in security, networking, and observability.

Lead architectural conversations across Azure and Google Cloud, balancing capability, cost, performance, regulatory fit, and developer experience.

Embed security and compliance into the platform: RBAC/IAM design, federated identity (Azure AD/Entra, Google Cloud Identity, AD, PingFederate), private networking, certificate/PKI lifecycle, secrets management, policy-as-code, and audit/evidence workflows.

Build patterns for safe consumption of generative AI - private endpoints for Azure OpenAI and Vertex AI, RAG architectures with Azure AI Search and vector stores, model gateway / routing layers, content filtering and prompt-shield controls, MLOps/LLMOps pipelines, and evaluation tooling.

Lead code review and set standards for IaC quality, testing, observability, error handling, and runbook hygiene across the team.

Partner with security, network, risk, and architecture organizations to shepherd new capabilities through internal control gates.

Contribute to platform strategy: roadmap shaping, build-vs-buy analysis, vendor evaluations, and cross-team alignment.

EDUCATION & EXPERIENCE

5+ years of cloud platform or infrastructure engineering experience, with deep IaC delivery on at least one of Azure or Google Cloud.

Expert-level Terraform - module design, composition, workspaces, testing, drift management, and pipeline patterns.

Strong Python for platform work: SDK integrations, CLI/tooling, automated testing, packaging, observability hooks.

Experience with GitHub Actions (or comparable CI/CD) including reusable workflows, environments, OIDC-based cloud auth, deployment gating, and secret management.

Demonstrable experience deploying and operating AI/ML services on Azure (Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Bot Service, Azure ML) and/or Google Cloud (Vertex AI, BigQuery, Pub/Sub).

Hands-on understanding of cloud networking at depth: VNets/VPCs, NSGs/firewall rules, hub-spoke and shared VPC patterns, private endpoints, ExpressRoute, DNS, and routing across hybrid topologies.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

Own end-to-end delivery and operation of Terraform-based infrastructure for Azure and Google Cloud AI services, including CI/CD pipelines, security controls, and production support. Build secure self-service platform tools and patterns, guide engineering quality through reviews and mentorship, and collaborate across security, network, risk, and architecture teams to shape platform strategy.

Requirements

Requires at least five years of cloud platform or infrastructure engineering experience and deep Infrastructure as Code delivery on Azure or Google Cloud. Candidates should have expert Terraform skills, strong Python and CI/CD experience, hands-on AI/ML cloud service deployment and operations, and in-depth cloud networking knowledge.

Skills

Terraform
Python
GitHub Actions
Azure
Google Cloud
Infrastructure As Code
Cloud Platform Engineering
AI/ML Platform Engineering
Cloud Networking
Identity And Access Management
Security And Compliance
CI/CD
Generative AI
MLOps/LLMOps
Technical Leadership
Automated Testing

Benefits

Health And Well-Being Benefits
Savings And Retirement Programs
Paid Time Off
Banking Benefits And Discounts
Career Development
Reward And Recognition Programs

Visa sponsorship

Not detected in the job text

Keywords

Terraform
Python
GitHub Actions
Azure OpenAI
Azure AI Foundry
Azure AI Search
Azure Bot Service
Azure Machine Learning
Google Vertex AI
Google Cloud
Infrastructure As Code
CI/CD
Reusable Workflows
OIDC
RBAC
IAM
Active Directory
Entra ID
PingFederate
PKI
Key Vault
Secret Manager
Policy As Code
Private Endpoints
RAG
Vector Stores
MLOps
LLMOps
Cloud Networking
Hybrid Cloud

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