Find work in Canada.

624,030 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 3 months ago
U
Senior Full Stack Engineer
UST
Toronto, ON
- Full-time
UST is searching for a Senior Full Stack Engineer with strong Front End expertise to help build and scale high‑impact digital platforms used by millions of users. This is an opportunity to…
Added 3 months ago
B
AI Inference Engineer
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own…
Added 3 months ago
S
Ingénieur/Ingénieure
Sezam
Montreal, QC
- Full-time
…de l'équipe, contribuer à la documentation technique et, si Python ou un langage similaire te parle, participer à rendre les outils internes plus…
Added 2 months ago
M
Sr. Cloud Platform Specialist
McKesson
Mississauga, ON
- Full-time
…and secure solutions (e.g., Terraform, Bicep/ARM, PowerShell,…
Added 2 months ago
D
Analysis Engineer
DOF
Paradise, NL
- Temporary
DOF Canada is currently seeking an Analysis Engineer to join our Engineering team for a period of 6 - 12 months. If you are looking for a dynamic environment to learn and grow your career,…
Added 2 months ago
S
Software Engineer II - Agentic AI Foundations
Socure
Toronto, ON
- $135,000 to $175,000 CAD / year
- Full-time
…software workflows to agent-native operations. As a Software Engineer II on the team, you will help design, build, and harden a secure, evaluable, vendor-agnostic agent platform that teams…
Added 2 months ago
PF
AI Engineer
PureFacts Financial Solutions
Toronto, ON
- $100,000 to $120,000 CAD / year
The AI Engineer (LLM/Agent) will own the conversational layer that describes Purefacts’ ML model outputs to end users, develop a “Revenue Assistant” Agent from R&D through to prototype, and…
Added 3 months ago
S
Senior/Staff Software Engineer
Senpilot
Toronto, ON
- Full-time
We're looking for a senior engineer to build and own AI-powered product features end to end, from schema and API design through to shipping in production and iterating on real usage. You’ll…
Added 3 months ago
SI
Sr. Staff AI Full Stack Engineer
Synopsys Inc
Mississauga, ON
- Full-time
You are a passionate engineer who thrives in fast-paced, innovative environments. You have a deep understanding of software engineering principles and a strong command of Python, with the…
Added 3 months ago
LI
Platform Engineer
LanceSoft, Inc.
Montreal, QC
- Contract
Description: We are seeking an experienced and motivated engineer to join the Observability fleet which focuses on delivering tools in private and public cloud environments. The role…
Added 3 months ago
F
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, ON
- Full-time
As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge…
Added 3 months ago
I
Embedded Systems Software Engineer
indie.inc
Toronto, ON
- Full-time
The Embedded Systems Software Engineer will be responsible for the design, implementation, and definition of validation plans for various software modules running on a multi-processor…
Added 2 months ago
MI
Production Engineering Technician
Magna International
Guelph, ON
- Full-time
Controls programming (PLC, Python, Ignition) experience is an asset
Added 2 months ago
EI
Automation Engineer - Controls & Automation
Ecolab Inc.
Calgary, AB
- Full-time
CoolIT Systems is looking for an experienced Automation Engineer, Manufacturing to join our Calgary Manufacturing team. In this role, you will be responsible for designing, programming,…
Added 2 months ago
TA
Senior/Staff Applied AI Engineer
Tali AI
Toronto, ON
- Full-time
Python, plus modern ML tooling. You write code others can run.
Added 3 months ago
V
Verification and Validation Engineer
VitalBio
Oakville, ON
- Full-time
Advanced level analytical programming (Python, Matlab, etc.).
Added 5 months ago
D
Jr. Algorithm Engineer
Dynamsoft
Vancouver, BC
- $50,000 to $70,000 CAD / year
- Full-time
We are looking for a motivated and intellectually curious Jr. Algorithm Engineer to join our Vancouver-based Algorithm Team. This is an excellent opportunity for a recent graduate or…
Added 3 months ago
JG
Data Platform Engineer
J&M Group
Toronto, ON
- Full-time
Seeking an experienced Data Platform Engineer with strong Netezza expertise.
Added 3 months ago
G
Analyste de données / Data Scientist
Genetec
Montreal, QC
- Full-time
Maîtrise avancée de Python (Pandas, NumPy, Scikit-learn) et expérience dans l'utilisation de bibliothèques d'apprentissage automatique
Added 4 months ago
LT
DevOps Team Lead
LMI Technologies
Burnaby, BC
- Full-time
Google Professional Cloud DevOps Engineer (or equivalent)
Added 2 months ago
A
Automation QA Engineer (Lead)
AlgaeCal
Remote, Canada
- Full-time
- Remote
…willing to dig. We’d also be impressed if you’ve worked with Python, PHP, Figma, Storybook, or…
Added 2 months ago
E
Automation Engineer - Controls & Automation
Ecolab
Calgary, AB · CAN-Calgary Office Starfield
- Full-time
CoolIT Systems is looking for an experienced Automation Engineer, Manufacturing to join our Calgary Manufacturing team. In this role, you will be responsible for designing, programming,…
Added 2 months ago
W
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As an 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…
Added 2 months ago
AI Application Security Architect
ACV
Toronto, ON
…engineering. A P6 architecture-track role alongside Principal Engineer on the Product Security Career Ladder. Company / multi-year scope; owns AI and application security architecture and…
Added 2 months ago
Intermediate Data Engineer
Northland Properties
Vancouver, BC
We're looking for a Data Engineer to design and build the pipelines and data architecture that power analytics, reporting, and governance across the business. You'll spend most of your time…

Workday

Senior AI Engineer

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

Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $180,200 CAD - $270,200 CADPrimary CAN Base Pay Range: $169,000 - $253,000 CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $180,200 CAD - $270,200 CADPrimary CAN Base Pay Range: $169,000 - $253,000 CAD
Job type: Full-time
Posting language: English
Posted: Aug 13, 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 an 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

7+ years experience as a member of an AI engineer, 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
3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
4+ years of professional experience in building services to host machine learning models in production at scale
2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
4+ 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

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: $180,200 CAD - $270,200 CADPrimary CAN Base Pay Range: $169,000 - $253,000 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.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.

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

Design and build core machine learning systems for next-generation AI agents within a cross-functional team. Own the full lifecycle of agentic architectures, including data strategy, deployment, monitoring, and continuous improvement.

Requirements

Requires 7+ years of experience in applied machine learning and 3+ years in deep learning frameworks like PyTorch or TensorFlow. Candidates must have a proven track record of leading teams and building production-grade AI services at scale.

Skills

Machine learning
Deep learning
Large language models
RAG pipelines
Workflow orchestration
Python
Pytorch
TensorFlow
Cloud computing
AWS
GCP
Software engineering
Data science
System architecture
Mentoring
Statistical analysis

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Machine Learning
Deep Learning
LLM
RAG
Autonomous Agents
Orchestration Frameworks
Pytorch
TensorFlow
AWS
GCP
Cloud Computing
Data Science
Software Engineering
Natural Language Processing
Information Retrieval
Recommendation Systems
Production-grade AI
Agent Factory
Enterprise-ready
Scalability
Statistical Analysis
Mentorship
Sprint Planning
Full-stack
Platform Architecture
Deployment
Monitoring
Feedback Loops
Graph Neural Networks

Report this job