Find work in Canada.

513,659 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 11 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 11 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 11 days ago
B
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 11 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 12 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 12 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,…
Added 12 days ago
Senior Product Builder
Clutch Technologies Inc.
Toronto, ON
You do not need to be an expert designer, product manager, and software engineer at the same time. You do need to be willing and able to move beyond your existing specialty when the problem…
Added 12 days ago
ML Software Engineer, Routing
Lyft
Toronto, ON
We are hiring a Machine Learning Engineer to join our Routing team. Our team builds and maintains Lyft's system responsible for providing routes for every ride request on our platform. We…
Added 12 days ago
CO
Manager, AI Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Manager, AI Engineer
Added 12 days ago
Senior QA Engineer, AI & Automation
CSC Generation
Canada
…to generate test plans, test cases, page objects, and test data from requirements, Jira stories, and PR…
Added 12 days ago
MI
Project Engineer
Magna International
Brampton, ON
- Full-time
…our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI…
Added 14 days ago
GD
Senior Project Engineer - Systems Engineer
General Dynamics Missions System International
Ottawa, ON
- Full-time
…engineers toward success? We are currently looking for a Project Engineer with technical leadership skills to play a driving force behind the introduction of new cutting-edge projects.…
Added 14 days ago
T
Manager, ML/AI Engineer, Data & AI
Toast
Toronto, ON
- $101,000 to $135,000 USD / year
- Full-time
…of concept to secure, scalable production. They are hiring a Manager, ML/AI Engineer to work directly with clients, architect AI solutions end to end, and get them running reliably in the…
Added 14 days ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
We are seeking a Senior AI/ML Engineer to drive the strategic implementation of generative AI and machine learning capabilities across TD's enterprise platforms. This individual contributor…
Added 14 days ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
We are seeking a Senior AI/ML Engineer to drive the strategic implementation of generative AI and machine learning capabilities across TD's enterprise platforms. This individual contributor…
Added 15 days ago
GD
Senior Project Engineer - Systems Engineer
General Dynamics Missions System International
Ottawa, ON
- $110,000 to $135,000 CAD / year
- Full-time
Are you ready to steer a talented team of engineers toward success? We are currently looking for a Project Engineer with leadership skills to play a driving force behind cutting-edge…
Added 15 days ago
ES
Senior AI/ML Delivery Manager
EPAM Systems
Toronto, ON
- Full-time
EPAM is looking for a Sr. AI/ML Delivery Manager to serve as the senior AI delivery advisor responsible for guiding our client’s engineering organization from isolated AI experimentation to…
Added 15 days ago
N
Software Engineer - AI 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 15 days ago
N
Software Engineer - AI 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 15 days ago
GD
Co-op Winter 2027 – Project Engineer - 8 to 12 months
General Dynamics Missions System International
Ottawa, ON
- Internship
General Dynamics Mission Systems - Canada has a requirement for a Junior Project Engineer to join the International TacCIS group. The successful candidate will be expected to work alongside…
Added 15 days ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a…
Added 17 days ago
ES
Senior Product Manager | Applied AI
EPAM Systems
Canada
- Full-time
…role. We expect confident, practical command of AI as a product manager - using it across the lifecycle and shaping AI-powered features - not the ability to build, train or tune…
Added 18 days ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and…
Added 18 days ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
We're hiring a Staff Software Engineer to own architecture and design decisions for our platform, including the modernization of legacy enterprise systems into modern, cloud-capable…
Added 19 days ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
✓Databricks Certified Data Engineer or Architect

Workday

Sr. Software Development Engineer / Principal, Software Development Engineer

Vancouver, BC, Canada
Canada, BC, Vancouver, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 6, 2026

Original job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

The AI Model Serving team is the engine behind every production Workday agent and machine learning use case. We own the services that power all production AI workloads, serving as the gateway to vendor-hosted LLMs on GCP and AWS Bedrock and operating the model deployment platform where Workday hosts and scales its models.

We host thousands of traditional ML models across sharded Ray Serve clusters. Our platform handles approximately 2,000 requests per second and peaks at greater than 10,000 requests per second in our largest cluster. We also provide a uniform interface for accessing models on Bedrock and Gemini, and the production model registry for Workday.

In the year ahead, we are focused on making our uniform vendor interface more robust, scaling our architecture to support more than 20 agents going into production, improving cost governance, exploring hosting open-source LLMs in our stack, evaluating a potential rewrite of the service in a different language for performance gains, and keeping pace with the rapidly evolving AI landscape.

Our culture is one of focus, camaraderie, and high performance. We are a friendly and dedicated group that takes pride in building and operating one of the most heavily used services at Workday. If you are energized by working on infrastructure that sits at the heart of Workday's AI strategy, this is the team for you.

About the Role

As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and direction of the platform alongside the engineering manager. You will play a central role in making critical design decisions, driving outcomes across the team, and setting a positive and inclusive team culture. In addition to the model serving platform, the team also owns the production model registry at Workday, and you will help guide its evolution and ensure it meets the needs of ML teams across the organization.

Your work will directly impact Workday's ability to serve AI at scale - from traditional ML models to the latest large language models powering Workday's agents.

Key Responsibilities:

Lead the team technically by making critical design decisions that drive performance, reliability, and scalability across the platform.
Design, implement, and maintain large-scale systems that enable moving ML models to production.
Write design documents to build consensus for new system components and enhancements to existing components.
Evaluate and uptake new technologies made available within Workday and across the broader industry.
Troubleshoot, improve, and scale continuous integration software pipelines.
Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams.
Respond to alerts and debug production issues to maintain platform health and reliability.
Review pull requests and enforce consistency, performance, readability, and security across code bases.
Develop documentation to share knowledge with other engineers.

About You

(P5) Principal SDE Basic Qualifications

10+ years of related work experience in software development, with a focus on building and operating large-scale distributed systems.
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Other Qualifications

Software Development and Distributed Systems: Deep experience designing, building, and scaling production-grade distributed systems. You understand the full software development lifecycle - from coding standards and testing to code reviews, source control management, and deployment - and you can apply that knowledge to complex, high-throughput platforms.
Python: Deep proficiency in Python, with extensive experience writing production-level code and building systems in Python-based frameworks.
LLMs and Traditional ML Models: Familiarity with both large language models and traditional machine learning models, including how they are served, scaled, and monitored in production environments. You understand the operational differences and can design platform abstractions that serve both effectively.
You can design and maintain monitoring strategies that provide clear insight into system health, performance, and cost.
Excellent written and verbal communication skills, including the ability to write clear design documents, articulate complex technical ideas, and build consensus across teams.
A collaborative approach to engineering, with experience mentoring other engineers and fostering an inclusive team environment.
Help set the product vision for the AI Model Serving platform in partnership with the engineering manager, bringing a product-oriented mindset to infrastructure decisions.

(P4) Sr. SDE Basic Qualifications

6+ years of related work experience in software development, with a focus on building and operating large-scale distributed systems.
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Other Qualifications

Software Development and Distributed Systems: Deep experience designing, building, and scaling production-grade distributed systems. You understand the full software development lifecycle - from coding standards and testing to code reviews, source control management, and deployment - and you can apply that knowledge to complex, high-throughput platforms.
Python: Deep proficiency in Python, with extensive experience writing production-level code and building systems in Python-based frameworks.
LLMs and Traditional ML Models: Familiarity with both large language models and traditional machine learning models, including how they are served, scaled, and monitored in production environments. You understand the operational differences and can design platform abstractions that serve both effectively.
You can design and maintain monitoring strategies that provide clear insight into system health, performance, and cost.
Excellent written and verbal communication skills, including the ability to write clear design documents, articulate complex technical ideas, and build consensus across teams.
A collaborative approach to engineering, with experience mentoring other engineers and fostering an inclusive team environment.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $168,000 CAD - $252,000 CADAdditional US Location(s) Base Pay Range: $173,300 USD - $309,600 USD

Additional Considerations:

If performed in Colorado, the pay range for this job is $182,400 - $273,600 USD based on min and max pay range for that role if performed in CO.

The application deadline for this role is the same as the posting end date stated as below:

10/20/2026

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Apply About employer

More about this job

Responsibilities

Lead the technical design and implementation of large-scale AI model serving platforms to ensure performance, reliability, and scalability. Collaborate with cross-functional teams to maintain production model registries and drive the evolution of AI infrastructure.

Requirements

Requires a bachelor's degree in a technical field and extensive experience in building and operating large-scale distributed systems. Candidates must demonstrate deep proficiency in Python and familiarity with both traditional machine learning models and large language models.

Skills

Distributed systems
Python
Machine learning
Large language models
System design
Cloud infrastructure
Scalability
Monitoring
Technical leadership
Mentoring
CI/CD
GCP
AWS Bedrock
Ray Serve

Benefits

Stock grants
Bonus plan
Flexible work
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
Distributed Systems
Python
Machine Learning
LLM
AI
GCP
AWS Bedrock
Ray Serve
Scalability
System Design
CI/CD
Production Engineering
Model Registry
Infrastructure
Technical Leadership
Mentoring
Gemini
Cloud Computing
Performance Optimization

Report this job