Jobs in Canada

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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
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
Senior Security Engineer II
Braze
Toronto, ON
…self-managed data stores such as MongoDB. We're looking for a Senior Cloud Security Engineer II to join our Security Engineering function as a senior individual contributor and technical…
Added 2 months ago
YI
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
…inclusive, user-centric solutions. We’re looking for a passionate AI Engineer to join our core engineering team and help design, build, and scale our AI infrastructure and…
Added 2 months ago
T
Sr. Full Stack Data Science Engineer
TD
Toronto, ON · Montreal, QC
- Full-time
…actionable recommendations. Demonstrated comfort engaging with senior executives and C‑suite stakeholders, influencing decisions through concise, insight‑driven…
Added 2 months ago
C
Data Engineer
Citi
Mississauga, ON
- Full-time
The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination…
Added 2 months ago
Senior Agentic Engineer - JavaScript
TribalScale
Toronto, ON
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 2 months ago
L
Senior Java Developer (with Python, AWS and Terraform)
Luxoft
Toronto, ON
- Contract
We are seeking a skilled and passionate Senior Software Engineer with strong expertise in Java and AWS to join our technology team. The ideal candidate will have extensive hands-on…
Added 2 months ago
EA
Machine Learning Engineer III
Electronic Arts (EA)
Vancouver, BC
- Full-time
The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office…
Added 4 months ago
EG
Sr. Data Platform Engineer
Etraveli Group
Toronto, ON
- Full-time
…Kubernetes on OpenStack in a new data centre. We are looking for a senior infrastructure engineer who has done stateful migrations before, who can plan, codify, and execute this one safely,…
Added 2 months ago
A
Backend Python Developer
Apexon
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer(Python Backend ) to design and build highly scalable, secure, and high-performance solutions within our core banking platform. You will work in a…
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 2 months ago
FH
FP&A Manager – Clinic Finance & Business Partner
Finni Health
Remote, Canada
- $90,000 to $120,000 CAD / year
- Full-time
- Remote
We're looking for a Senior FP&A Analyst to own the financial performance of a portfolio of clinics - the go-to finance partner for forecasting, monthly performance, gross margin, and the…
Added 2 months ago
Senior Data Engineer
Konrad
Toronto, ON
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric,…
Added 2 months ago
C
Senior Embedded Software Engineer
Ciena
Ottawa, ON
- $95,800 to $153,000 CAD / year
- Full-time
Employees are required to work on-site 4 days per week · The must haves:
Added 2 months ago
MT
Sr Engineer I - Validation (Systems)
Microchip Technology Inc.
Burnaby, BC · Canada - Burnaby
- Full-time
…and enterprise data centers. We are looking for a hands-on Senior System Validation Engineer to join our team in Roseville and take ownership of silicon bring-up, system integration, and…
Added 2 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
H
Senior Software Engineer, Data Systems
Hive
Remote, Canada
- Full-time
- Remote
As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently…
Added 2 months ago
Senior Software Engineer (Gaming Full Stack) - WWE Champions
Scopely
Canada
Scopely is looking for a Senior Software Engineer (Gaming Full Stack) to join our WWE Champions team in the United States or Canada on a remote basis or Mexico City on a hybrid basis.
Added 6 months ago
GM
Data Scientist
Gibraltar Mine
McLeese Lake, BC
- Full-time
Develop scalable, testable, and reliable internal data science tools, primarily in Python.
Added 2 months ago
S
Engineer
Swoon
Toronto, ON
- $60 to $77 CAD / hour
- Contract
Advanced scripting skills in Python and/or bash - telemetry & network tool integration experience.
Added 2 months ago
MS
Principal Software Engineer, Avigilon Access Control
Motorola Solutions
Vancouver, BC
- Full-time
Motorola Solutions Inc. (MSI) is seeking an experienced Principal Software Development Engineer to lead the evolution and optimization of our high-scale Access Control solution. This role…
Added 2 months ago
Senior Controls Software Developer
Ballard Spahr LLP
Burnaby, BC
Product Engineering has an immediate opening for a Senior Controls Software Engineer to join the Systems Engineering team. Successful candidates will possess demonstrated capability and…
Added 2 months ago
Java Developer
Capgemini
Montreal, QC
We're seeking a Java Engineer to join our Firm Market Risk Technology team. In this role, you will develop and enhance the Firm's Market Risk Platform.
Added 2 months ago
C
Senior Full-Stack Engineer (Front-End Leaning), North Admin
Cohere
Remote, Canada
- Full-time
- Remote
Have shipped (lots of) fullstack code (Python and React) in production

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

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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

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Work requirements

Jobs in Canada