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Added 1 month ago
EI
Lab Technician
Ecolab Inc.
Calgary, AB
- Full-time
Assemble prototypes using off the shelf, pre-designed and custom-made parts based on the engineer’s specifications. This can include sketch-level design, building or locally sourcing custom…
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
Senior Data Engineer
Capgemini
Vancouver, BC
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Exposure to AI/ML concepts, generative AI tools, agentic AI, prompt engineering, RAG/knowledge-search patterns, or automation tooling.
Added 1 month ago
TR
Staff Platform Engineer - Materia AI
Thomson Reuters
Toronto, ON
- Full-time
As a Platform Engineer, you will contribute to leading the design, development, and evolution of our next-generation cloud-native platforms. You will contribute to technical strategy,…
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Exposure to AI/ML concepts, generative AI tools, agentic AI, prompt engineering, RAG/knowledge-search patterns, or automation tooling.
Added 1 month ago
E
Lab Technician
Ecolab
Calgary, AB · CAN-Calgary Office Liquid Lab
- Full-time
Assemble prototypes using off the shelf, pre-designed and custom-made parts based on the engineer’s specifications. This can include sketch-level design, building or locally sourcing custom…
Added 1 month ago
Q
Staff Software Engineer, Qualcomm AI Runtime
Qualcomm
Markham, ON
- Full-time
Staff Software Engineer – Qualcomm AI Runtime
Added 1 month ago
CF
Senior AI Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced and technically strong Senior AI Engineer to join our Data, AI & Analytics (DNA) team. This role focuses on the applied use of Generative AI and…
Added 1 month ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
LLM solution architecture & solution development (Generative AI / Azure OpenAI)
Added 1 month ago
TC
Senior L3 AI Engineer
Tata Consultancy Services
Montreal, QC
- Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across the firm’s end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic…
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
…instrumental in driving secure, compliant, and high-impact enterprise generative AI adoption through…
Added 1 month ago
Associate or Vice President Full Stack Engineer
BMO
Toronto, ON · FCP
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 1 month ago
D
Cloud, Automation & AI Engineer - Senior Consultant
Deloitte
Toronto, ON
- Full-time
As a Cloud, Automation & AI Infrastructure Engineer, Senior Consultant, you will play a key role in designing, implementing, and modernizing cloud and AI-enabled technology platforms that…
Added 1 month ago
Sr. Software Dev Engineer, Amazon Customer Service
Amazon
Toronto, ON
The Contact Handling Experience team is seeking a innovative Sr. Software Development Engineer to lead technical strategy and support the team’s growth through mentorship.
Added 1 month ago
H
Applied AI Engineer
Hygiena
Mississauga, ON
- Full-time
With rapid growth comes opportunity. We are looking for an Applied AI Engineer (LLM Applications Engineer) to join our team onsite in our Mississauga, Ontario Canada office! This is a…
Added 1 month ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 1 month ago
Growth Platform, Marketing Engineer
Faire
Toronto, ON
…partner engineering pod carrying its own roadmap. The Marketing Engineer builds those systems inside marketing, on Faire’s production stack, and enables marketers to then run…
Added 1 month ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
As a Data Engineer on the Data Science team at OpenTable, you will design, build, and maintain robust data solutions that power diner features, partner integrations, and advanced AI…
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
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 1 month ago
Microsoft Consultant
eSentire
Canada
Added 1 month ago
C
Intermediate Python Engineer
Citi
Mississauga, ON
- Full-time
Build and implement sophisticated risk algorithms on Citi's strategic platforms by integrating Generative AI foundational models to validate market behavior and extract actionable…
Added 1 month ago
Q
Architect - Machine Learning
Quantiphi
Canada
- Full-time
…High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Added 1 month ago
L
Data Architect
Lantern
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
…secure, governed foundations for analytics, machine learning, generative AI, and intelligent…

Workday

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

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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.

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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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