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Added 22 days ago
AM
Profiling Infrastructure Development Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Added 22 days ago
AM
Sr. Software Development Engineer, AI Models
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Join our innovative team at AMD as an AI Models Software Engineer. We are seeking passionate individuals who are dedicated to optimizing, accelerating, and applying AI models. As a member…
Added 22 days ago
AM
Software Engineer, AI & Engineering Productivity Tools
Advanced Micro Devices, Inc
Markham, ON
- Full-time
AMD is seeking a Software Engineer, AI & Engineering Productivity Tools to build platforms, automation, and AI-powered tools that improve engineering productivity across ASIC design and…
Added 22 days ago
FH
Senior Data Engineer
Fraser Health
Surrey, BC
- Full-time
…department of Fraser Health, we are looking for a Senior Data Engineer to join our agile and fast paced team. Reporting to the Director, Data Engineering, this position is part of the team…
Added 22 days ago
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Senior Software Engineer, Machine Learning
hive.co
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 22 days ago
P
Senior Software Engineer- Wireless (Contract)
Photon-IV
Canada
- Full-time
The Senior Software Engineer- Wireless is a contract hybrid role based in Canada, with a mix of on-site collaboration and work-from-home flexibility. This role is responsible for leading…
Added 22 days ago
D
Senior Privacy Engineer
DuckDuckGo
Remote, Canada
- $178,500 USD / year
- Full-time
- Remote
Proficiency in any of the following: Go, Node.js, Python, Perl.
Added 22 days ago
HT
Senior Software Engineer (Full Stack)
Hudson Talent Solutions
Toronto, ON
- Full-time
Production experience with Node.js, Python, or Go.
Added 22 days ago
IO
Upstream Engineer - Students Seeking Opportunities
Imperial Oil
Calgary, AB
- Full-time
Experience with data analysis, programming, or technical software tools (e.g., Python, VBA, or engineering applications) is considered an asset.
Added 22 days 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 22 days ago
S
Member of Technical Staff - Fullstack AI Engineer (Toronto)
Solstice
Toronto, ON
- Full-time
We're looking for a Fullstack AI Engineer to build and maintain our agent platform and bring its capabilities into the product. You'll own work across backend services, APIs, agent…
Added 22 days ago
S
Senior Member of Technical Staff (Applied AI) (Toronto)
Solstice
Toronto, ON
- Full-time
We're hiring a senior Applied AI engineer to own the technical direction of our AI systems: retrieval, generation, verification, evaluation, and keeping systems running in production.…
Added 22 days ago
S
Patient Experience iCare Exchange Integrations Engineer
Sanofi
Toronto, ON
- Full-time
Position Title: Patient Experience iCare Exchange Integrations Engineer
Added 23 days ago
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Process Engineer
Tenova
Mississauga, ON
- Full-time
Tenova Goodfellow Inc. (TGI) Process Engineer works in the Project Operations Department ensuring that process engineering objectives are fulfilled and the projects are executed according…
Added 23 days ago
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R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building,…
Added 23 days ago
CI
Lead Engineer, Active Equities, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As Lead Software Engineer, Active Equities Technology, you will provide technical leadership in designing, developing, deploying, and supporting technology solutions that enable the Active…
Added 23 days ago
R
Senior AI/ML Engineer
RBC
Toronto, ON
- Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
Added 23 days ago
R
Staff Cloud Security Engineer (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
…across all tenants. In this role as a Staff Cloud Security Engineer, you will play a crucial role in developing innovative solutions to enhance RBC's Cloud Security posture. You will also…
Added 23 days ago
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Lead Financial Engineer, Software
RBC
Toronto, ON
- Full-time
We are seeking a Lead Financial Engineer to bridge the gap between our investment strategy business units and our software engineering teams. In this role, you will translate complex…
Added 23 days ago
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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 23 days ago
ME
Intermediate Software and Control Systems Engineer
Medatech Engineering Services Ltd.
Collingwood, ON
- Full-time
If you’re an experienced Intermediate Software and Control Systems Engineer, think about joining our team. You will design, develop, and integrate control systems for heavy equipment,…
Added 23 days ago
LT
Senior Product Cybersecurity Engineer - Platform Security
L3Harris Technologies
Montreal, QC
- Full-time
Job Title: Senior Product Cybersecurity Engineer – Platform Security
Added 23 days ago
RB
Lead Financial Engineer
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
We are seeking a Lead Financial Engineer to bridge the gap between our investment strategy business units and our software engineering teams. In this role, you will translate complex…
Added 23 days ago
M
Senior Full Stack Software Engineer - Capital Markets
Manulife
Toronto, ON
- Full-time
Senior Full-Stack Engineer – Capital Markets & Derivatives
Added 23 days ago
M
Agentic Engineer, Innovation
Manulife
Montreal, QC
- Full-time
The Agentic Engineer, Innovation will design, build, and scale agentic AI solutions for Canada AI, helping translate high-value innovation opportunities into secure, reusable, and…

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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