Find work in Canada.

553,412 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 2 months ago
I
Specialist Programmer
Infosys
Calgary, AB
- Full-time
…work on latest and next‑generation technologies, collaborate with experienced engineers, and build high‑quality, scalable, and secure software solutions. You will be part of a strong…
Added 2 months ago
A
Staff AI Engineer
Acquia
Canada
- Full-time
Acquia empowers the world’s most ambitious brands to create digital customer experiences that matter. With open source Drupal at its core, the Acquia Digital Experience Platform (DXP)…
Added 2 months ago
FR
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Ratings
Toronto, ON
- Full-time
…in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these capabilities with real technical conviction. If…
Added 2 months ago
B
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
Partner with AI Platform & Fabrics to ensure platform capabilities (Gateway, Policy Engine, Identity Fabric, Registry, Guardrails, Observability) realize the target architecture, and with…
Added 4 months ago
S
Solutions Architect
Shakudo
Toronto, ON
- Full-time
…client-facing role for someone who bridges deep technical expertise with strong relationship skills and can move between Kubernetes, Helm, and cloud infrastructure and strategic customer…
Added 4 months ago
S
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 2 months ago
Lead, Robotics Software Engineer
Locus Robotics
North Vancouver, BC
Locus Robotics is a place to do meaningful work with real-world impact, where your ideas move quickly from concept to deployment. We invest in our people, encourage continuous learning, and…
Added 2 months ago
TT
Building Automation Technician
trane technologies
Montreal, QC
- Full-time
…BrainBox AI, Nuvolo, and more - combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
…evolve our logging platform architecture, supporting the team with technical leadership for security logging overall. If you have a strong data engineering background with a passion for…
Added 2 months ago
MT
Technical Staff Engineer–Applications
Microchip Technology Inc.
Toronto, ON · Montreal, QC · Burnaby, BC · Canada - Burnaby
- Full-time
…about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology…
Added 2 months ago
Applied Scientist, Tax Engine
Amazon
Vancouver, BC
…transactional distributed systems in the world? How about working with customers and peers from the entire range of Amazon's business and Science on complex real world problems, backed with…
Added 2 months ago
I
Optical Reliability Engineer
Inpho
Ottawa, ON · Kanata, ON
- $125,000 to $170,000 CAD / year
- Full-time
You will work closely with Device Design, Epitaxy, Process Engineering, Packaging, Test, Failure Analysis, and external partners to understand failure mechanisms, define reliability…
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production…
Added 2 months ago
A
Engineering Manager
Augment
Toronto, ON
- Full-time
In this role, you’ll manage a team of engineers, stay hands-on with technical decisions, and work closely with Product and cross-functional partners to ship impactful, reliable systems.…
Added 2 months ago
C
Senior SRE
CloudFactory
Canada
- Full-time
Fluent in Python, with strong experience writing production-ready code
Added 2 months ago
FM
Product Engineer
FluidAI Medical
Kitchener, ON
- $100,000 to $120,000 CAD / year
Build and ship product features across the full stack (Python backend, TypeScript/React frontend).
Added 2 months ago
W
Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
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…
Added 2 months ago
Head of Toronto AI Center
Samsung Research America
Toronto, ON
…services for future products. Headquartered in Silicon Valley with locations across North America, we partner with industry and academia to translate research and innovation into tangible…
Added 2 months ago
Senior Security Engineer II
Braze
Toronto, ON
…those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued…
Added 2 months ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
…multiple industries. We combine advanced automation expertise with digital innovation to create smart, efficient, and sustainable manufacturing systems. Our global network includes…
Added 2 months ago
YI
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
At YuJa, we are on a mission to equip regulated sector clients with solutions to deliver compliant digital experiences. We integrate AI thoughtfully to support smarter decisions and create…
Added 2 months ago
T
Sr. Full Stack Data Science Engineer
TD
Toronto, ON · Montreal, QC
- Full-time
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.
Added 2 months ago
C
Data Engineer
Citi
Mississauga, ON
- Full-time
…or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming…
Added 2 months ago
Senior Agentic Engineer - JavaScript
TribalScale
Toronto, ON
…organizations adapt and thrive in a rapidly changing world. We partner with clients to build transformative digital products, modernize technology platforms, and apply emerging technologies…
Added 2 months ago
X
Layout & Design Engineer - SNSPDs (Superconducting Nanowire Single Photon Detectors)
Xanadu
Toronto, ON
- Full-time
…architecture. In this role, you will help develop our internal PDK, with a focus on complex multiplexed multi-pixel detector arrays. You will also lead mask design for fabrication process…

Workday

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 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 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

Report this job