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Added 2 hours ago
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Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
The Applied AI Data Ingestion & Integration (DII) team provides end‑to‑end services to help move, prepare, and operationalize data for AI and analytics workloads. As a Senior Manager within…
Added 4 hours ago
O
Conseiller(ère) en ingénierie de données sénior
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Avoir réussi au moins 3 évaluations Microsoft Applied Skills directement en lien avec Fabric ou détenir la certification Microsoft Fabric Data Engineer Associate (DP-700);
Added 4 hours ago
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Conseiller(ère) en ingénierie de données sénior
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Avoir réussi au moins 3 évaluations Microsoft Applied Skills directement en lien avec Fabric ou détenir la certification Microsoft Fabric Data Engineer Associate (DP-700);
Added 21 hours ago
AM
Senior Firmware Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
We are looking for an experienced and passionate Firmware Engineer to join the NBIO team and drive HW/FW co-development for IP sub-systems. In this role, you will collaborate with hardware,…
Added 22 hours ago
WH
Digital Transformation Intern
WELL Health Technologies Corp
Toronto, ON
- Full-time
…including Microsoft Copilot and Azure AI Foundry, on top of WELL’s intelligence…
Added 22 hours ago
WH
Digital Transformation Intern
WELL Health Technologies Corp
Vancouver, BC
- Full-time
…including Microsoft Copilot and Azure AI Foundry, on top of WELL’s intelligence…
Added 1 day ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
As a Principal Software Engineer, you will be a senior technical leader and strategic influencer shaping Redwood’s RunMyJobs platform. You will drive high-impact technical decisions, own…
Added 1 day ago
HP
Sr Manager, Business Analytics
Hill's Pet Nutrition
Toronto, ON
- $143,100 to $166,950 CAD / year
- Full-time
…Provide people leadership to Canadian Data Analyst and Business Intelligence…
Added 1 day ago
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Senior Director, Program Delivery
Royal Bank of Canada
Toronto, ON
- Full-time
As a member of RBC Borealis AI, reporting to the VP, Solutions Engineering & Delivery, the Senior Director, Program Delivery will lead the strategic planning, execution, and governance of…
Added 1 day ago
TI
Senior HVAC Engineer
Trane Italia
Montreal, QC
- Full-time
At BrainBox AI, we are revolutionizing how buildings consume energy by combining artificial intelligence, cloud computing, and HVAC expertise to create truly autonomous buildings. We’re…
Added 2 days ago
BI
Staff Machine Learning / Operations Research Engineer
Burq, Inc.
Remote, Canada
- Full-time
- Remote
We're hiring a Staff ML/OR engineer to define and build the intelligence at the core of Dispatch OS, our platform for ML-assisted dispatch decisions. You'll set the technical direction for…
Added 2 days ago
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Senior Software Engineer (Python / GenAI) – Markets Technology
Citi
Mississauga, ON
- Full-time
Citi’s Markets Technology group is modernizing financial risk management, and we are seeking an experienced Senior Python Engineer to sit at the center of that evolution. In this role, you…
Added 2 days ago
Senior Forward-Deployed AI Engineer 1
Bell
Toronto, ON
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 2 days ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Kelowna, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 3 days ago
Senior Machine Learning Engineer, Recommendations
Lyft
Toronto, ON
We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial…
Added 3 days ago
PT
Product Engineer
Purelend Technologies Inc.
Calgary, AB
- Full-time
We're hiring a senior Product Engineer to sit on that boundary. You're an engineer at the bone. You think in systems, you write production code, and you have the technical credibility to…
Added 4 days ago
AI Engineer
Bell
Toronto, ON
The Applied AI & Data Science team builds and deploys production-grade AI solutions across Bell. We bridge the gap between cutting-edge AI research and operational enterprise systems,…
Added 6 days ago
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Senior Director, Program Delivery
RBC
Toronto, ON
- Full-time
As a member of RBC Borealis AI, reporting to the VP, Solutions Engineering & Delivery, the Senior Director, Program Delivery will lead the strategic planning, execution, and governance of…
Added 6 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 6 days ago
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IMPONEXPO BUILDER COHORT
ImpoNexpo
Toronto, ON
- Full-time
You may be a senior engineer, AI researcher, product designer, technical founder, data specialist, research engineer, open-source contributor or an unusually capable emerging talent.
Added 7 days ago
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Senior Data Engineer
TriMech
Oakville, ON
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 7 days ago
DI
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Applied Intelligence is scaling enterprise AI across Microsoft Foundry, Databricks, Copilot Studio, and a mixed model estate spanning Anthropic, Azure OpenAI, other frontier models, and…
Added 7 days ago
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Lead Threat Intelligence Engineer
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
You will work closely with Clio's internal red team and detection engineer. Threat Intelligence characterizes the adversary - who they are, how they operate, what to watch for. The Red Team…
Added 7 days ago
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Senior Data Engineer
TriMech
Oakville, ON
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 7 days ago
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Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent…

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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