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Added 1 month ago
A
Responsable Architecte IA (Intelligence Artificielle)
Avanade
Montreal, QC
- Full-time
…understand how various parts of the business processes, operating systems, and application architectures work together to design a specific AI solution that fits a client’s environmental…
Added 1 month ago
W
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
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.…
Added 1 month ago
M
Senior Security Engineer - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management (IAM) and proven expertise in cloud-native environments, particularly AWS. In…
Added 1 month ago
PT
Machine Learning Engineer
PTx Trimble
Winnipeg, MB
- Full-time
Solutions for Every Season. We engineer and deliver precision agriculture hardware, software, and cloud-based platforms that connect every corner of the farm. At PTx, we are redefining the…
Added 1 month ago
EG
Full Stack Engineer - Azure & Microsoft
Emterra Group
Oakville, ON
- Full-time
We are looking for a skilled Full Stack Engineer to design, build, integrate, and operate secure enterprise applications on the Microsoft Azure platform. This role owns application…
Added 1 month ago
GD
Cybersecurity Engineer (System Engineering) - Multiple level
General Dynamics Missions System International
Calgary, AB
- Full-time
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 1 month ago
SF
Data Platform Engineer II
Spring Financial Inc.
Vancouver, BC
- Full-time
…ownership, trust them to make decisions, and focus on building systems that scale…
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Design internal AI assistants and knowledge-search experiences that make SOPs, tickets, and operational documentation easier to access and reuse.
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
SF
Data Platform Engineer II
Spring Financial
Vancouver, BC
- Full-time
…ownership, trust them to make decisions, and focus on building systems that scale…
Added 1 month ago
Sr. Staff Engineer - Frontend
Munich Re
Toronto, ON
Define and own shared frontend platform capabilities used across multiple applications, including design systems, component libraries, authentication and session management, multi-tenancy…
Added 1 month ago
SA
Technical Project Manager, Applications & Solutions
Sanctuary AI
Vancouver, BC
- Full-time
You will co-lead each engagement with a Solutions Engineer, who owns the technical solution and the design decisions behind it. Your focus is managing the project that carries that solution…
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Design internal AI assistants and knowledge-search experiences that make SOPs, tickets, and operational documentation easier to access and reuse.
Added 1 month ago
CF
Senior AI Engineer
CI Financial
Toronto, ON
- Full-time
Design, prototype, and lead development of agentic AI systems capable of multi-step reasoning, task decomposition, and tool use to automate and support complex business workflows.
Added 1 month ago
Machine Learning Engineer
AGCO
Winnipeg, MB
Solutions for Every Season. We engineer and deliver precision agriculture hardware, software, and cloud-based platforms that connect every corner of the farm. At PTx, we are redefining the…
Added 1 month ago
EE
Senior Software Engineer
Enerva Energy Solutions
Calgary, AB
- $85,000 to $95,000 CAD / year
- Full-time
…AI-driven features we think will set our products apart. You'll own systems, not just features: setting architecture, choosing where AI genuinely earns its place, and raising the bar for…
Added 1 month ago
E
Senior Software Engineer, Backend, AI Labs
Epiq
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…startup within a global organization, focused on agentic AI systems, knowledge-driven reasoning, and enterprise-scale simulations. We…
Added 1 month ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
…understand how various parts of the business processes, operating systems, and application architectures work together to design a specific AI solution that fits a client’s environmental…
Added 1 month ago
B
Software Engineer - Identity & Authorization
Baseten
Montreal, QC
- $240,000 to $285,000 USD / year
- Full-time
4-5+ years of experience building production backend systems, including hands-on design and implementation of a product authorization system: per-resource or per-object permissions,…
Added 1 month ago
C
Specialist Software Cloud Developer
CPKC
Calgary, AB
- Full-time
Design, develop, and maintain ETL/ELT workflows to extract data from diverse sources including Oracle, SQL Server, SAP, SAP BW, Snowflake, AWS, Azure, GCP, and other enterprise systems
Added 1 month ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 1 month ago
H
Applied AI Engineer
Hygiena
Mississauga, ON
- Full-time
Design and build advanced retrieval and knowledge systems (RAG): hybrid search, vector and graph stores, indexing strategies, reranking, caching, and source attribution - grounding…
Added 1 month ago
W
Senior / Staff Software Engineer, ML-based Controls
Waabi
Toronto, ON
- $241,000 to $320,000 USD / year
- Full-time
Design and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods.
Added 1 month ago
LH
Principal Product Applications Engineer
LeadingEdge HR Solutions
Ottawa, ON
- Full-time
Position Title: Principal Product Applications Engineer
Added 1 month ago
Senior Software Engineer – Full Stack (AI First)
Precisely International Jobs
Canada
We are seeking an experienced and technically strong Senior Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role,…

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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