Jobs in Canada

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Added 1 month ago
W
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal Software Development Engineer for Machine Learning, you will be a team leader, working closely with other engineers and ML researchers to build and deploy robust, scalable AI…
Added 1 month ago
EA
Directeur.trice technique principal.e - Rendu neuronal / Principal Technical Director - Neural Rendering
Electronic Arts (EA)
Montreal, QC
- Full-time
We are looking for a Principal Technical Director with deep and broad rendering experience to lead a group of rendering engineers and researchers within our Research & Engineering team. You…
Added 1 month ago
FF
Principal Data Scientist
Forward Financing
Remote, Canada
- $208,000 to $286,000 CAD / year
- Full-time
- Remote
Lead the design, development, and deployment of the company's most complex and highest-stakes statistical and machine learning models, particularly in ambiguous problem spaces with no…
Added 1 month ago
EP
Project Estimation Manager [On-Site, Hybrid or Remote] - Gestionnaire Estimation des Projets [Sur Place, Hybride ou Télétravail] |
EDF power solutions
Montreal, QC
- $95,200 to $158,700 CAD / year
- Full-time
Rewarding learning & career development and advancement opportunities.
Added 1 month ago
Sr. Principal AI Architect
Open Text Corporation
Richmond Hill, ON
As a Senior Principal AI Architect, you will shape how OpenText builds and operates AI solutions across its product portfolio. Working with architects and engineering leaders across…
Added 1 month ago
O
Sr. Principal AI Architect
OpenText
Richmond Hill, ON
- Full-time
As a Senior Principal AI Architect, you will shape how OpenText builds and operates AI solutions across its product portfolio. Working with architects and engineering leaders across…
Added 1 month ago
AI Principal Product Manager - Technical, Amazon Customer Service
Amazon
Vancouver, BC
…solutions and contextual intelligence using Generative AI, Machine Learning, Natural Language Processing, Ontology, Agentic AI, Multi-Agent Architectures, Reinforcement Learning, Knowledge…
Added 1 month ago
LE
Agentic AI Researcher
LG Electronics
Toronto, ON
- Full-time
Work Arrangement: Hybrid: 3 Days per Week On-Site
Added 1 month ago
LE
Lead Agentic AI Researcher
LG Electronics
Toronto, ON
- Full-time
Work Arrangement: Hybrid: 3 Days per Week On-Site
Added 1 month ago
QF
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON · North York, ON
- Full-time
Work-life balance in a hybrid environment with at least 3 days in office
Added 2 months ago
PX
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Experience deploying and operationalizing machine learning models in production
Added 1 month ago
Principal AI Architect
Open Text Corporation
Richmond Hill, ON
As a Principal AI Architect, you will turn advances in AI into applications and agents that solve enterprise problems. You will own architecture for defined solutions and platform…
Added 1 month ago
SE
AI & Cloud Infrastructure Specialist
Stikeman Elliott LLP
Toronto, ON
- Full-time
8+ years of experience in cloud infrastructure, platform engineering, or DevOps, including hands-on responsibility for production AI, machine learning, or LLM-based solutions.
Added 1 month ago
EC
Ingénieur(e) principal(e) en réseaux de puissance / Lead Power System Engineer
Eaton Corporation
Brossard, QC
- $101,000 to $126,000 CAD / year
- Full-time
Bonne connaissance des techniques d’apprentissage machine supervisé et non supervisé (machine learning), ainsi que des technologies modernes d’intelligence artificielle (IA), notamment l’IA…
Added 2 months ago
NI
Logistics Specialist Junior
NORSAT INTERNATIONAL INC
Aurora, ON
- $18 to $25 CAD / hour
- Full-time
The Company’s recruitment platform relies on artificial intelligence and machine learning to establish a Profile Relevancy score based on an initial comparison of an applicant’s education,…
Added 1 month ago
EA
Principal Technical Director - Neural Rendering
Electronic Arts (EA)
Vancouver, BC
- Full-time
We are looking for a Principal Technical Director with deep and broad rendering experience to lead a group of rendering engineers and researchers within our Research & Engineering team. You…
Added 2 months ago
Trade Development & Key Account Manager (Montreal, Quebec)
Southern Glazer’s Wine and Spirits, LLC
Montreal, QC
…people – and equips them with leading technology, continuous learning, and the ability to bring their best selves to work. As North America's largest total beverage distributor, Southern…
Added 2 months ago
FG
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
- Full-time
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 2 months ago
B
Staff/Principal Software Engineer (Strong AI/ML and Java exp)
Bevertec
Toronto, ON
- Contract
…science to build the foundation for trust-signal processing and machine learning…
Added 2 months ago
T
Développeur(euse), orchestration de l’IA SAP | SAP AI Orchestration Developer
Talan
Montreal, QC
- Full-time
Reporting to the Principal Director, SAP Innovation and IP and the Vice President, Delivery for engagement assignment, the SAP AI Orchestration Developer designs and builds AI-enabled…
Added 2 months ago
B
Spécialiste, fiabilité des aéronefs et maintenance prédictive
Bombardier
Dorval, QC
- Full-time
…constituent des outils importants dans ce rôle. Toutefois, l’accent principal est mis sur la compréhension des systèmes aéronautiques, des facteurs influençant la fiabilité, des mécanismes…
Added 2 months ago
FR
Senior Director, Engineering - Innovation Tribe
Fitch Ratings
Toronto, ON
- Full-time
…formed AI-focused engineering teams driving the next frontier of machine learning and intelligent automation at Fitch. Together, these teams represent our most ambitious and consequential…
Added 2 months ago
SE
Principal Azure Cloud Architect
Schneider Electric
Montreal, QC
- Full-time
Experience with Azure AI services, Azure Machine Learning, Azure AI Foundry, model hosting, or AI platform engineering.
Added 2 months ago
BI
Senior Project Buyer
BOS Innovations
London, ON
- Full-time
…develop great people - fostering collaboration, continuous learning, and professional…
Added 2 months ago
T
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
TD
Toronto, ON · Montreal, QC
- Full-time
As a Senior Applied Machine Learning Scientist, you will lead a high-performing team of AI/ML professionals and provide technical leadership across the AI function. You will be responsible…

Principal Software Development Engineer - AI Platform

Vancouver, BC, Canada
Canada, BC, Vancouver, Canada

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $168,000 - $252,000 CADAdditional CAN Location(s) Base Pay Range: $168,000 - $252,000 CAD · Full-time

Apply on workday.wd5.myworkdayjobs.com About employer

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Job details

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $168,000 - $252,000 CADAdditional CAN Location(s) Base Pay Range: $168,000 - $252,000 CAD
Job type: Full-time
Posting language: English
Posted: Sep 21, 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

Do you want to build impactful, AI features and solutions that will be used by millions of end-users? We are in the AI Platform organization at Workday and we solve meaningful problems that lie at the intersection of machine learning and enterprise-scale software! We build advanced AI solutions that power the core Workday software by modeling user behavior and providing intelligent automation. Come join us and make easier and balanced for millions of Workday users!

About the Role

As a Principal Software Development Engineer for Machine Learning, you will be a team leader, working closely with other engineers and ML researchers to build and deploy robust, scalable AI platforms. You will play a vital role in turning innovative ML concepts into production-ready solutions, with a focus on agentic AI capabilities such as planning, reasoning, and action execution frameworks.

Your Primary Focus:

Implement AI Platforms: Design and maintain sophisticated AI platform capabilities, focusing on patterns like tool calling, multi-agent architectures, and human-in-the-loop integrations. You will write clean, performant code that ensures these systems are resilient in production.
Build ML Infrastructure: Develop and deploy secure, RESTful web services using Python and Kubernetes. You will contribute to the development of multi-tenant runtime architectures that enable fast inference and scale to millions of users.
Collaborative Engineering: Participate in design reviews and code quality initiatives. You will apply software development best practices to ensure our codebase remains maintainable, testable, and efficient.

You Will Also:

Translate Requirements: Work with cross-functional teams to turn product requirements into functional technical designs.
Apply MLOps Standards: Utilize industry-standard practices, including automation, observability, and CI/CD, to deliver high-quality ML solutions.
Continuous Learning: Stay current with evolving AI/ML technologies and contribute to the team’s collective knowledge.

About You

Basic Qualification

8+ years experience in software development engineering including designing, developing, and deploying software solutions.
5+ years of experience in Python, with a consistent track record of shipping production code and systems.
5+ of experience building scalable data pipelines and working with large-scale datasets.
5+ years of validated experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes) for MLOps.
Bachelor’s degree in a relevant field such as Computer Science, Engineering, or a related discipline, or equivalent practical experience.

Other Qualification

Solid ability in Algorithmic Thinking to design and implement efficient solutions for agentic system development.
Expertise in the engineering, deployment, and MLOps of advanced machine learning solutions (e.g., generative models, LLMs, RAG, and AI agents), coupled with a strong understanding of scalable distributed systems, performance optimization, database technologies (e.g., PostgreSQL, Redis), and robust API development.
Validated algorithmic thinking and a track proven history designing, implementing, and analyzing efficient algorithms for complex problems.
Demonstrated ability to build flexible, reusable, and well-documented software components, with comprehensive experience in code testing strategies (unit, integration, end-to-end) in a continuous deployment environment. Strong sense of ownership and a proven ability to deliver high-quality, finished products efficiently.
Excellent communication and collaboration skills, emphasizing team collaboration, knowledge-sharing, and delivering customer impact.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. 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 CAN Base Pay Range: $168,000 - $252,000 CADAdditional CAN Location(s) Base Pay Range: $168,000 - $252,000 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.

Apply on workday.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

Design and maintain sophisticated AI platform capabilities, including tool calling and multi-agent architectures. Develop and deploy secure, scalable RESTful web services using Python and Kubernetes to support enterprise-scale machine learning.

Requirements

Requires 8+ years of software development experience with at least 5 years in Python and cloud-based production service deployment. Candidates must possess strong algorithmic thinking and expertise in building scalable machine learning infrastructure.

Skills

Python
Kubernetes
Machine Learning
AI Platforms
Cloud Platforms
Docker
Data Pipelines
Distributed Systems
Generative Models
LLMs
RAG
API Development
PostgreSQL
Redis
MLOps
Algorithmic Thinking

Benefits

Bonus plan
Stock grants
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Python
Kubernetes
Machine Learning
AI Platforms
Cloud Platforms
Docker
Data Pipelines
Distributed Systems
Generative Models
LLMs
RAG
API Development
PostgreSQL
Redis
MLOps
Algorithmic Thinking
Software Engineering
Agentic AI
CI/CD
Observability
Automation
Enterprise Software
Multi-tenant Architecture
Inference
Software Development
Technical Design
Code Quality
Production-ready
Scalability
Performance Optimization

Seniority

Lead

Perks

Performance bonus
Stock or equity

Tools

Python
Kubernetes
Docker
PostgreSQL
Redis

Languages

English

Fields of study

Computer Science
Engineering

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Work requirements

Jobs in Canada