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Added 5 hours ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
As Principal AI Engineer you will own the technical direction of that journey. You will define the platform architecture, the production boundary between code that runs in production and…
Added 10 hours ago
FA
Founding Sales Engineer
Featherless AI
Remote, Canada
- $150,000 to $190,000 USD / year
- Full-time
- Remote
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 10 hours ago
R
Principal AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
As Principal AI Engineer you will own the technical direction of that journey. You will define the platform architecture, the production boundary between code that runs in production and…
Added 10 hours ago
E
Agentic AI Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
…human intervention. We are seeking a highly skilled Agentic AI Developer to be the core engineer constructing our next-generation AI…
Added 13 hours ago
TC
Generative AI Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $110,000 USD / year
- Full-time
…architecture, Vector Databases (e.g., Pinecone, pgvector), and Prompt Engineering…
Added 16 hours ago
SF
Senior Software Engineer, AI Product Engineering
Safe Fleet
Coquitlam, BC
- Full-time
We are seeking a highly skilled, hands-on Senior Software Engineer to design, develop, and deliver AI-powered features and capabilities across our product portfolio.
Added 16 hours ago
SF
Senior Software Engineer, AI Product Engineering
Safe Fleet
Coquitlam, BC
- Full-time
We are seeking a highly skilled, hands-on Senior Software Engineer to design, develop, and deliver AI-powered features and capabilities across our product portfolio.
Added 1 day ago
N
Senior Software Development Engineer in Test (SDET), QA - AI Systems
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Build automated pipelines that run evals and test suites on every model, prompt, or tool-integration change, and integrate them into CI/CD as enforceable quality gates.
Added 1 day ago
GM
AI/ML Engineer
General Magic
Toronto, ON
- Full-time
Engineer prompts and context deliberately, with guardrails and hallucination controls
Added 2 days ago
C
Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
- Full-time
Citi’s Banking Technology organization is seeking a highly hands-on Lead Software Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial…
Added 3 days ago
C
Développeur expert IA
CGI
Montreal, QC
- Full-time
Develop robust prompt engineering pipelines and agent chains (multi agent orchestration) to solve concrete business problems.
Added 3 days ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 days ago
R
Lead Agentic AI Engineer
RBC
Toronto, ON
- Full-time
Manage and develop Context Engineers/Prompt Engineers, establishing best practices in context design, retrieval strategies, and agent behavior tuning
Added 3 days ago
E
Agentic AI Optimization Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
…we are seeking an analytical Agentic AI Evaluation & Tuning…
Added 3 days ago
A
Principal MCP/AI Developer
Autodesk
ON · Ontario, Canada
- Full-time
As the Principal MCP/AI Developer, you will define and drive the technical direction of that platform - its capability/tool model, agent-orchestration architecture, trust model, and the way…
Added 3 days ago
A
Principal MCP/AI Developer
Autodesk
Toronto, ON
- Full-time
As the Principal MCP/AI Developer, you will define and drive the technical direction of that platform - its capability/tool model, agent-orchestration architecture, trust model, and the way…
Added 3 days ago
G
AI Bot Developer / Conversational AI Engineer
Genpact
Toronto, ON
- Full-time
We are seeking a skilled AI Bot Developer / Conversational AI Engineer with experience in designing, developing, and deploying intelligent AI-powered chatbot solutions. The ideal candidate…
Added 3 days ago
X
Senior Full Stack Developer
xMentium
Remote, Canada
- Full-time
- Remote
We're looking for a Senior Full Stack Developer to build and maintain production systems for our Document Intelligence platform.
Added 3 days ago
SI
AI/ML Engineer
Spait Infotech
Canada
- Full-time
Work with Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG), where applicable.
Added 3 days ago
R
Founding Engineer
Requesty
London, ON
- Full-time
…adding telemetry, analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the…
Added 3 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 3 days ago
A
Gen AI - Prompt Engineer
Apptad
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 3 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 3 days ago
K
Director, AI Engineering
KPMG
ON · Toronto, Ontario
- Full-time
AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Added 4 days ago
KC
Director, AI Engineering
KPMG Canada
Toronto, ON
- Full-time
AI certifications (for example Professional AI Architect, Machine Learning Engineer) or equivalent are a plus

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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