Jobs in Canada

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Added 1 month ago
V
Principal AI/ML Engineer
Vanguard
Toronto, ON
- Full-time
As a Principal AI Engineer, you will serve as a senior technical leader responsible for transforming state-of-the-art AI research into scalable, production-ready capabilities that create…
Added 1 month ago
S
Platform Engineer
Slalom
Montreal, QC
- Full-time
Job Title: Senior Engineer – Platform Engineering
Added 1 month ago
S
Platform Solution Architect
Slalom
Montreal, QC
- Full-time
We’re looking for a Senior Platform Engineer to join a North America-based team focused on delivering secure, scalable automation and cloud platforms. This role is about enabling teams to…
Added 1 month ago
B
Principal AI Cloud Engineer
BMO
Toronto, ON · FCP
- Full-time
As a Principal AI & Cloud Engineer , you are a hands-on technical developer who designs, builds, and scales cloud-native AI solutions and products. You help set engineering standards,…
Added 1 month ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
We are looking for a Data Engineer that combines Data Engineering, platform architecture and management expertise. The Data Engineer will:
Added 1 month ago
NF
Future Opportunities - Engineering Leadership (Staff/Principal)
Neo Financial
Calgary, AB
- Full-time
Neo is rebuilding financial services infrastructure from scratch. We've shipped a full-stack banking platform (credit cards, savings accounts, mortgages, personal loans, cash back rewards)…
Added 1 month ago
Principal, Energy and Carbon Solutions
WF Group Inc.
Kitchener, ON
The Principal, Energy and Carbon Solutions plays a critical leadership role in advancing technical excellence, client delivery, and sustainable growth within our ECS (Energy and Carbon…
Added 1 month ago
Principal AI Engineer - Context - Agents and Context
Elastic
Canada
As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and…
Added 1 month ago
QT
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $285,000 to $325,000 CAD / year
- Full-time
Position: Principal Engineer, Software Engineering / AI Engineer
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
B
Senior Cloud Engineer - Terraform, Azure
BDO
Toronto, ON
- Full-time
Must have experience:
Added 1 month ago
Staff DevSecOps Specialist
AlayaCare
Montreal, QC
Extensive hands-on experience in DevSecOps, cloud security engineering, or platform and SRE work with deep security ownership, at staff or principal level of technical scope, with a track…
Added 1 month ago
HS
Casual Caretakers - St. Michael's School (Pincher Creek)
Holy Spirit Catholic School Division
Pincher, AB
- Full-time
…Supervisor, and is assessed for performance by the Head Caretaker, Principal and Maintenance Supervisor. The Caretaker demonstrates a strong working knowledge of cleaning and general…
Added 1 month ago
TT
Solution Architect, Google Workspace & Gemini AI
Tundra Technical Solutions
Toronto, ON
- $130,000 to $145,000 CAD / year
- Full-time
Job Location: Hybrid (2–3 days in office) – based in Toronto, ON · Must Have(s)
Added 1 month ago
M
Scrum Master
McKesson
Montreal, QC
- Full-time
…Plateforme Patients Pharmacie B2C. Ce rôle agit à la fois comme principal facilitateur des équipes Agile et comme coordonnateur des mises en production, en veillant au respect des…
Added 1 month ago
P&
Responsable de produit digital – Produit Digital de Service à la Clientèle / Digital Product Owner – Customer Service Digital Product
Pratt & Whitney
Longueuil, QC
- Full-time
Être le point de contact principal pour colliger la rétroaction des usagers;
Added 1 month ago
EM
PySpark / Databricks Developer (Junior to Intermediate)
Electric Mind
Toronto, ON
- Full-time
- Contract
…Databricks for a financial services / wealth management data platform. The platform ingests data from multiple source systems, transforms it through a medallion architecture (bronze →…
Added 1 month ago
A
Lead Software Engineer – AI, Data Visualization & Platform
Astucemedia
Montreal, QC
- Full-time
As Lead Software Engineer – AI, Data Visualization & Platform, you will help bridge architectural vision, product innovation, advanced visualization, and day-to-day engineering execution.
Added 1 month ago
V
Ingénieur(e) de données principal(e) | Senior Data Engineer
ValPay
Montreal, QC · Saint-Laurent, QC
- Full-time
As a Senior Data Engineer, you'll design, build and operate the data platform behind Valpay's analytics, reporting, product development and day-to-day operational decisions. Payments data…
Added 1 month ago
R
Responsable de produit digital – Produit Digital de Service à la Clientèle / Digital Product Owner – Customer Service Digital Product
RTX
Longueuil, QC
- Full-time
Être le point de contact principal pour colliger la rétroaction des usagers;
Added 1 month ago
VC
Ingénieur(e) de données principal(e) | Senior Data Engineer
Valsoft Corporation
Montreal, QC · Saint-Laurent, Quebec
- Full-time
As a Senior Data Engineer, you'll design, build and operate the data platform behind Valpay's analytics, reporting, product development and day-to-day operational decisions. Payments data…
Added 2 months ago
AL
Principal Product Applications Engineer
Astera Labs
Vancouver, BC
- Full-time
…that connects GPUs, CPUs, and accelerators at rack scale. As a Principal Product Applications Engineer on the Scorpio team, you will be the technical face of our switching portfolio to the…
Added 1 month ago
PX
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
- Full-time
…the Model Context Protocol (MCP), and sits between Senior and Principal level. There are no direct reports for this…
Added 1 month ago
LC
Principal Technical Program Manager - FinOps
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
We're looking for a Principal Technical Program Manager to join our Product & Technology Operations team and own how we manage, optimize, and scale cloud, vendor, and AI spend across the…
Added 1 month ago
LC
Principal Technical Program Manager - FinOps
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
We're looking for a Principal Technical Program Manager to join our Product & Technology Operations team and own how we manage, optimize, and scale cloud, vendor, and AI spend across the…

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

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Jobs in Canada