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Added 1 hour ago
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Machine Learning Engineer
AgileGrid Solutions
Canada
- Full-time
We are seeking a talented and driven Machine Learning Engineer to join the Qualcomm AI Processor Solutions team. This role offers an exciting opportunity to contribute to the development of…
Added 1 hour ago
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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 1 hour ago
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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 1 hour ago
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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 4 hours ago
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Patient Experience iCare Exchange Integrations Engineer
Sanofi
Toronto, ON
- Full-time
As a Patient Experience iCare Insights/Exchange Integrations Engineer at Sanofi, you will play a pivotal role in transforming patient data into actionable insights that drive better health…
Added 5 hours 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 5 hours 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 6 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 6 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 6 hours ago
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Senior Director, Program Delivery
RBC
Toronto, ON
- Full-time
Added 6 hours ago
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Senior AI/ML Engineer
RBC
Toronto, ON
- Full-time
Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
Added 6 hours ago
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Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
This Engineer is an expert professional with deep expertise or unique industry knowledge who uses in depth skill sets to contribute to development of company objectives and principles and…
Added 6 hours 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 6 hours 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 7 hours ago
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Naval Project Quality Assurance Engineer - NETE
Weir
Dartmouth, NS
- Full-time
…The Model Based Systems Engineering (MBSE) Quality Assurance Engineer will conduct QA activities across the MBSE enterprise in support of the RCD…
Added 8 hours ago
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Principal Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Principal Software Engineer, you will provide technical leadership for enabling and optimizing frontier-scale AI models on Microsoft AI accelerators. You will work across hardware…
Added 9 hours ago
W
Data Engineer
Wiraa
Canada
- Full-time
We are currently seeking a talented and dedicated Data Engineer to join our Information Technology Department at our Leamington office. This is a full-time, permanent position that plays a…
Added 10 hours ago
TS
IT Business Systems Engineer - Collaboration Tools & Analytics /Spécialiste des systèmes d'affaires TI - Outils de collaboration et analytique
TD SYNNEX North America
Mississauga, ON
- $70,000 to $85,000 CAD / year
- Full-time
Added 11 hours ago
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Quality Engineer II
TD
Toronto, ON
- Full-time
Added 11 hours ago
T
Data Platform Engineering Manager
TD
Toronto, ON
- Full-time
…serves as the foundation for technology governance, reporting, analytics, metrics, and decision-making. Reporting to the Head of Technology Data Management, this role leads the onboarding,…
Added 11 hours ago
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Data Architect, Technology Data Management
TD
Toronto, ON
- Full-time
…systems of record, data products, reporting platforms, and analytics solutions. This position plays a critical role in enabling enterprise governance, operational management, risk…
Added 11 hours ago
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.NET/C# Engineer, TD Securities
TD
Toronto, ON
- Full-time
We are looking for a Senior Engineer to join the Securitization Technology team and embrace a broad range of tasks associated with developing application and systems solutions to address…
Added 11 hours 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 12 hours ago
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Senior Full Stack Software Engineer - Capital Markets
Manulife
Toronto, ON
- Full-time
We're seeking a Senior Full-Stack Engineer with strong software engineering expertise and experience in derivatives trading systems. In this role, you'll design, develop, and support…
Added 12 hours 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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