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Added 2 months ago
Senior Analytics Engineer (m/f/d)
AutoTrader.ca
Toronto, ON
As a Senior Analytics Engineer, you will be a senior technical contributor within the Analytics Engineering team and help shape the data foundations behind reporting, self-service…
Added 1 month ago
Senior Software Engineer, Data - Mapping
Lyft
Toronto, ON
As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of…
Added 2 months ago
PF
Ingénieur·e senior en implantation | Senior Implementation Engineer
Power Factors
Remote, Canada
- Remote
Connaissance des langages de script tels que Python ou Bash.
Added 2 months ago
TM
Software Engineer
The MRG Group
Toronto, ON
- $85,000 to $130,000 CAD / year
- Full-time
We’re hiring software engineers at multiple levels (Intermediate & Senior) to help shape and scale the systems behind AdmitONE, our multi-product ticketing platform.
Added 2 months ago
CI
Senior Quality Engineer, Real Assets, Alternative Investment Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Senior Quality Engineer, you will design, build and implement test automation to ensure quality delivery in support of value-add technology solutions and products. You will proactively…
Added 2 months ago
X
Senior Cryogenic Engineer
Xanadu
Toronto, ON
- Full-time
Xanadu is looking for a Cryogenic Engineer to lead designing, developing, and building Xanadu’s next generation cryostats as well as contribute to the build-out of our facility-level…
Added 2 months ago
X
Senior Software Developer - Automation Systems
Xanadu
Toronto, ON
- Full-time
As a Senior Software Developer on our AI team, you will be a hands-on individual contributor who sets the technical bar for the internal AI research platform that accelerates Xanadu's R&D.…
Added 2 months ago
A
Business Intel Engineer, WW Promotions and Events Data and Insights
Amazon
Vancouver, BC
- Full-time
This role requires a hands-on engineer, with high learn and be curious, that is able to invest, simplify, and deliver for their customers. We are looking for a person with broad analytical…
Added 2 months ago
PC
Senior Associate SIEM Implementation
Pwc Canada
Toronto, ON · Ottawa, Ontario · Vancouver, British Columbia · Montreal, Quebec · Calgary, Alberta
- Full-time
As a Senior Associate SIEM Implementation, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited…
Added 2 months ago
A
Staff AI Engineer
Acquia
Canada
- Full-time
The Role: Acquia is seeking a Staff AI Engineer to join our AI Core Engineering team. This is first and foremost a hands-on engineering role - you will spend the majority of your time…
Added 2 months ago
AS
AI Software Engineer
Associate Staffing
Richmond, BC
- Contract
…back-office operations, and financial performance. In this senior contract role, you’ll design, develop, and deploy production-ready AI products - working closely with engineers, data…
Added 2 months ago
B
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
…architectural decisions under ambiguity, and the influence to align senior leaders on architectural…
Added 4 months ago
S
Solutions Architect
Shakudo
Toronto, ON
- Full-time
4–8 years of experience in solution engineering, solution architecture, or a senior engineering role with significant client-facing responsibility
Added 4 months ago
S
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 2 months ago
Senior Data Engineer
Scotiabank
Toronto, ON
We are seeking an experienced Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing team. In this role, you will be responsible for designing,…
Added 2 months ago
AN
Senior/Lead Software Engineer (Packet Forwarding Engines)
Arista Networks
Vancouver, BC
- Full-time
Independently implement solutions to small-sized problems in our packet forwarding engine software and system software using the C, C++, and python programming languages.
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…

Workday

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

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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.

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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 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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