Jobs in Canada

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Added 2 months ago
M
Director Data Engineering
McKesson
Mississauga, ON
- Full-time
Must have a strong customer and quality focus
Added 2 months ago
M
Senior Software Engineer (Backend)
Motion
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer, you'll do full-stack development with a focus on backend: anything from building features to designing, implementing, and maintaining robust, high-quality…
Added 2 months ago
TM
Software Engineer
The MRG Group
Toronto, ON
- $85,000 to $130,000 CAD / year
- Full-time
Own the full lifecycle. Write the code, refine the AI-assisted prompts behind it, configure CI/CD pipelines, and execute safe rollouts.
Added 2 months ago
MS
R&D Electrical Engineer (On-Site)
Myant Shared Service Corp.
Mississauga, ON
- Full-time
…electronics. You will have the opportunity to work across the full electrical stack, from power architecture and analog front ends to PCB design, embedded bring-up, test automation, and…
Added 2 months ago
JS
Senior Software Engineer (AI Integration & Modernization)
Jonas Software
Markham, ON · Canada - Markham - Ontario
- Full-time
Design and build AI-enabled systems and full-stack components including APIs, integrations, data pipelines, retrieval systems, and user-facing interfaces.
Added 2 months ago
J
Manager, Software Engineering, Operations
Jobber
Remote, Canada
- $169,200 to $228,900 CAD / year
- Full-time
- Remote
Strong full-stack technical background, including design and architectural experience.
Added 2 months ago
Software Development Engineer, Demand Tech
Amazon
Toronto, ON
You'll work on our full-service, full-stack advertising platform, specifically developing APIs and AI Agents that deliver Amazon signals to improve planning for advertisers and enhance…
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate…
Added 2 months ago
CT
Senior Software Developer - Full Stack Web Application
CIeNET Technologies
Markham, ON
- $100,000 to $150,000 CAD / year
- Full-time
Position: Senior Software Developer - Full Stack Web Application Development
Added 2 months ago
W
Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod,…
Added 2 months ago
SX
Software Engineer
SALT XC
Toronto, ON
- $110,000 to $135,000 CAD / year
Design, develop, and maintain full-stack web applications and APIs.
Added 2 months ago
Software Dev Engineer II, 1P Audio Video Measurement
Amazon
Toronto, ON
As a Software Development Engineer II on the team, you will be responsible for the design, implementation, testing, and deployment of data-intensive analytical solution that will help steer…
Added 2 months ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
We need a AI Software Engineer who can turn architecture and technical plans into secure, reliable, production-ready solutions. Approximately 70–80% of the role will focus on AI systems,…
Added 2 months ago
YI
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
Familiarity with front-end or full-stack technologies is a plus
Added 2 months ago
BV
Senior Full Stack Engineer, AI
Big Viking Games
Remote, Canada
- Full-time
- Remote
Hybrid, 4 days per week in office · This is a hybrid role based in Toronto, with an expectation of working in office three days per week
Added 2 months ago
Senior Agentic Engineer - JavaScript
TribalScale
Toronto, ON
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.
Added 2 months ago
Lead Software Engineer, Full-Stack Applications - Innovation Teams
Fitch Group
Toronto, ON
Lead Software Engineer, Full-Stack Applications – Innovation Teams
Added 4 months ago
EG
Sr. Data Platform Engineer
Etraveli Group
Toronto, ON
- Full-time
Tripstack is moving its entire data stack from bare-metal VMs to Kubernetes on OpenStack in a new data centre. We are looking for a senior infrastructure engineer who has done stateful…
Added 3 months ago
H
Staff Software Engineer, Full Stack
Harvey
Toronto, ON
- $196,800 to $295,200 CAD / year
- Full-time
As a Staff Full Stack Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the…
Added 3 months ago
M
Senior TypeScript Engineer
MapsPeople
Toronto, ON
- Full-time
…customers worldwide. We are looking for a Senior TypeScript Engineer to join our team and play a key role in building and evolving our platform using a modern TypeScript-first stack,…
Added 2 months ago
BV
Senior DevOps Engineer, Agentic Automation & Live Games
Big Viking Games
Remote, Canada
- Full-time
- Remote
Hybrid, 4 days per week in office · This is a hybrid role based in Toronto, with an expectation of working in office three days per week
Added 3 months ago
TR
Senior Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
We're looking for a Senior Software Engineer to join the CoCounsel Applications team and play a hands-on role in building and evolving our external integration strategy leveraging MCP and…
Added 3 months ago
TR
Staff Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
We're looking for a Lead Engineer to join the CoCounsel Application Experience team and play a hands-on technical leadership role in building and evolving our core product experiences. In…
Added 3 months ago
H
Senior Software Engineer, Data Systems
Hive
Remote, Canada
- Full-time
- Remote
Own the Full Pipeline - and Its Business Impact: From Change Data Capture through validation, transformation, and denormalization - you drive the stack end to end. But you also understand…
Added 3 months ago
E
Senior Product Engineer
evolo.ai
Toronto, ON
- Full-time
Your seat: you’ll ship a category-defining product end to end, full stack, from user

Principal AI Engineer

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

Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $188,000 CAD - $282,000 CADPrimary CAN Base Pay Range: $188,000 - $282,000 CAD · Full-time

Apply on workday.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $188,000 CAD - $282,000 CADPrimary CAN Base Pay Range: $188,000 - $282,000 CAD
Job type: Full-time
Posting language: English
Posted: Aug 24, 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

Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI - deeply embedded into Workday’s platform - not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.

About the Role

As a Principal AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod, you’ll own how models, agent logic, and orchestration layers come together in production - across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement. You’ll implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready. This role sits at the intersection of ML and platform engineering: partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack. You’ll stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale.

About You

Basic Qualifications

10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
4+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
6+ years of professional experience in building services to host machine learning models in production at scale
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Other Qualifications:

Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement.

Workday Pay Transparency Statement

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: $188,000 CAD - $282,000 CADPrimary CAN Base Pay Range: $188,000 - $282,000 CAD

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 on workday.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

You will design and build core ML systems for next-generation AI agents, owning the full lifecycle from data strategy to production deployment. You will collaborate within a senior cross-functional pod to integrate scalable, observable, and enterprise-ready AI solutions into the Workday platform.

Requirements

Candidates must have 10+ years of experience in machine learning or software development, with specific expertise in LLMs, deep learning frameworks, and production-scale model hosting. A bachelor's degree in a technical field is required, along with a proven track record of technical leadership and mentoring.

Skills

Machine Learning
Deep Learning
Large Language Models
RAG
Python
PyTorch
TensorFlow
Cloud Computing
AWS
GCP
System Architecture
Natural Language Processing
Statistical Analysis
Team Leadership
Software Engineering
Agentic Architectures

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Deep Learning
Large Language Models
RAG
Agentic Architectures
PyTorch
TensorFlow
Cloud Computing
AWS
GCP
Software Engineering
Data Science
Natural Language Processing
Statistical Analysis
Orchestration Frameworks
Production-grade AI
System Architecture
Enterprise Software
Team Leadership
Mentoring
Sprint Planning
Full-stack
Graph Neural Networks
Information Retrieval
Recommendation Systems
Scalability
Observability
Data Strategy
AI Platform

Seniority

Senior

Perks

Performance bonus
Stock or equity

Tools

PyTorch
TensorFlow
AWS
GCP

Languages

English

Fields of study

Engineering
Computer science
Physics
Mathematics

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Work requirements

Jobs in Canada