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Jobs in Canada

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Added 7 hours ago
UA
Software Engineer Intern - QuantumBlack, AI by McKinsey at McKinsey & Company
UCI-OC Alliance
Engineer, BC
- Volunteer
You will assist in building software across the full stack, taking on well-defined tasks with close guidance and growing your skills with every engagement. You'll participate in team…
Added 8 hours ago
AM
Software Engineer, AI & Engineering Productivity Tools
Advanced Micro Devices, Inc
Markham, ON
- Full-time
You will develop full-stack applications, automate engineering workflows, enhance development infrastructure, and leverage modern AI-assisted development tools to help engineers work faster…
Added 8 hours ago
H
Senior Software Engineer, Machine Learning
hive.co
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 19 hours ago
S
Member of Technical Staff (Fullstack) (Toronto)
Solstice
Toronto, ON
- Full-time
We're building Solstice to automate compliant, reference-backed pharma marketing. As a founding full-stack engineer on our Toronto team, you'll own core parts of the application stack,…
Added 23 hours ago
CI
Lead Engineer, Active Equities, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Develop modern full-stack applications using Python, React or Plotly Dash, APIs, and cloud-native technologies to support portfolio management, research, and analytics.
Added 1 day ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and cloud…
Added 1 day ago
W
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 1 day ago
A
Software Engineer, AI & Engineering Productivity Tools
AMD
Markham, ON
- $128,000 to $192,000 USD / year
- Full-time
You will develop full-stack applications, automate engineering workflows, enhance development infrastructure, and leverage modern AI-assisted development tools to help engineers work faster…
Added 1 day ago
NS
Senior DevOps Engineer, AI Platform
Network Solutions
Canada
- Full-time
We are looking for a hands-on Senior DevOps Engineer to build and operate the infrastructure powering our AI platforms, agent runtimes, web applications, backend services, APIs, and shared…
Added 1 day ago
Software Engineer
ExaCare AI
Toronto, Ontario
Build and ship user-facing product: Develop full-stack features using TypeScript, PostgreSQL, and modern cloud tooling on AWS, helping customers navigate complex healthcare workflows.
Added 1 day ago
TH
Senior Integration Developer -C Business Intel
Trillium Health Partners
Mississauga, ON
- Full-time
Position: Senior Business Intelligence Data Engineer
Added 1 day ago
H
Software Engineering Intern (Winter 2027)
Harvey
Remote, Canada
- $45 to $55 CAD / hour
- Internship
- Remote
We're currently hiring Winter 2027 interns in Toronto, including Frontend, Backend, Full-Stack and Infrastructure intern roles. Your interests & experience will be factored into our team…
Added 1 day ago
Senior Software Engineer
SALT XC
Toronto, ON
Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing,…
Added 2 days ago
EA
Full Stack Software Developer
Engineered Arts
Montreal, QC
- Full-time
We are looking for skilled Full Stack Software Developers to join our software development team. You will work closely with cross-functional teams to develop, maintain, and enhance both our…
Added 2 days ago
S
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
- Full-time
Title - Senior Full Stack AI Engineer / Technical Engagement Manager
Added 2 days ago
St Staff R&D Engineer
Synopsys
Waterloo, ON
…engineers rely on daily, not prototypes that look good in demos. Full stack development is second nature to you: you design Python backends, build Angular frontends, and understand exactly…
Added 2 days ago
Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and…
Added 2 days ago
AI Engineer Intern
Electronic Arts
Vancouver, BC
…application. Our team employs a state-of-the-art, cloud-based tech stack equipped with top-tier tools to support initiatives such as data modeling, model training and fine-tuning, and agent…
Added 2 days ago
G
Python Frontend Developer
Genpact
Montreal, QC
- Full-time
We are seeking a hands-on Front-End Engineer/Developer with strong Python and frontend development experience to build and enhance surveillance technology platforms and business-facing…
Added 3 days ago
IA
Senior Systems Engineer - Edge Integration & Sensor Fusion
Invision AI
Remote, Canada
- Full-time
- Remote
We are looking for a Senior Systems Engineer for a hands-on role: integrating our sensor systems on Linux edge computers, implementing LiDAR and camera signal processing, owning device…
Added 3 days ago
E
Backend Engineer, Client Portal
EvenUp
Remote, Canada
- $152,660 to $214,475 USD / year
- Full-time
- Remote
Actively engage in the full project lifecycle across the stack, with full ownership from conception to deployment and iteration.
Added 3 days ago
RB
Software Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
You will be a full stack developer on a team focused on web applications that support internal and external RBC users. This role supports the modernization and enhancement of enterprise…
Added 3 days ago
C
Senior SailPoint IIQ Engineer
Cognizant
Brampton, ON
- Full-time
We are seeking a Lead SailPoint IdentityIQ Engineer with strong expertise in Identity Governance and Administration (IGA), SailPoint IdentityIQ implementation, and IAM operations. This role…
Added 3 days ago
TC
Infra / Cloud & GenAI Architect
Tata Consultancy Services
Calgary, AB
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 3 days ago
R
Software Engineer
RBC
Toronto, ON
- Full-time
You will be a full stack developer on a team focused on web applications that support internal and external RBC users. This role supports the modernization and enhancement of enterprise…

Workday

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: $138,000 - $208,000 CAD · Full-time

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Job details

Pay: Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $180,200 CAD - $270,200 CADPrimary CAN Base Pay Range: $138,000 - $208,000 CAD
Job type: Full-time
Posting language: English
Posted: Oct 1, 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, AI 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

5+ years experience as a member of a data science, machine learning / AI 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
2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
3+ years of professional experience in building services to host machine learning models in production at scale
1+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
3+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
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: $138,000 - $208,000 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.

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More about this job

Responsibilities

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

Requirements

Candidates must have 5+ years of experience in applied machine learning at scale and 2+ years of professional experience with deep learning frameworks like PyTorch or TensorFlow. A bachelor's degree in a technical field is required, along with proven experience in cloud computing and LLM-powered agent development.

Skills

Machine Learning
Artificial Intelligence
LLM
Python
PyTorch
TensorFlow
Cloud Computing
AWS
GCP
RAG
Data Science
Software Engineering
Orchestration
Natural Language Processing
Statistical Analysis

Benefits

Stock grants
Bonus plan
Flexible work
Professional development

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Machine Learning
Deep Learning
LLM
RAG
Agentic Architectures
PyTorch
TensorFlow
AWS
GCP
Cloud Computing
Data Science
Software Engineering
Natural Language Processing
Statistical Analysis
Production-grade AI
Orchestration
Scalability
Enterprise-ready
Graph Neural Networks
Deployment
Monitoring
Feedback Loops
Product Management
Cross-functional
Autonomous Agents
Information Retrieval
Recommendation Systems
Platform Architecture
Human Workflows

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