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Added 14 days ago
FO
Data Advisor
Federation of Canadian Municipalities
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
…following areas: monitoring, evaluation, and organizational learning, funding program design and operations, program reporting and performance…
Added 14 days ago
PS
Senior Manager Cybersecurity - Governance Risk and Compliance
Professional Staffing
Toronto, ON · Greater Toronto Area, Canada
- $140,000 to $160,000 CAD / year
- Full-time
Lead cybersecurity strategy and governance for the secure adoption of Artificial Intelligence, Generative AI, machine learning, automation, and other emerging technologies.
Added 14 days ago
W
Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
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…
Added 14 days ago
SE
Manager, MX Sales Platform
Samsung Electronics
Mississauga, ON
- Full-time
Subsidized Cafeteria; including free Starbucks coffee/latte machine
Added 14 days ago
NS
Senior DevOps Engineer, AI Platform
Network Solutions
Canada
- Full-time
We are looking for a hands-on Senior DevOps Engineer to build and operate the infrastructure powering our AI platforms, agent runtimes, web applications, backend services, APIs, and shared…
Added 14 days ago
TC
Junior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
…and enhancement of AI-powered solutions under the guidance of senior engineers leveraging large language models, natural language processing, document processing services, machine learning,…
Added 14 days ago
ED
Senior Data Platform Administrator - EN 533
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Professional Development: Take advantage of our continuous learning opportunities, including training programs, workshops and language training
Added 14 days ago
C
Director, AI Delivery
CIBC
Toronto, ON
- Full-time
…also bring broader experience in artificial intelligence and machine learning…
Added 14 days ago
B
Sales Technology Excellence and Enablement Specialist
BD
Mississauga, ON
- Full-time
Work collaboratively with stakeholders at all levels within the organization ranging, from business users to senior management.
Added 14 days ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
Support AI and machine-learning initiatives and evaluate emerging technologies for practical business value.
Added 14 days ago
DI
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Define and operationalize the AI delivery model, including reusable implementation patterns, reference solutions, and engineering standards for RAG, agentic, and machine learning solutions.
Added 14 days ago
V
Senior Data Scientist
Visa
Toronto, ON
- Full-time
Experience building and deploying machine learning models to production, focusing on modular, scalable, and maintainable models.
Added 14 days ago
N
Automation Engineer Co-op/Intern
Nokia
Ottawa, ON
- Full-time
Knowledge of Artificial Intelligence and Machine Learning concepts gained through coursework, projects, or practical experience.
Added 14 days ago
T
Senior Manager, Data Science
TD
Toronto, ON
- Full-time
Partner with business leaders to identify and prioritize high-value machine learning, artificial intelligence, and advanced analytics opportunities.
Added 14 days ago
C
AI Product Owner Director
CIBC
Toronto, ON
- Full-time
Leadership Partnership – Collaborate with the Senior Director to report on portfolio progress, ROI realization, and capacity planning for leadership.
Added 14 days ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
The Machine Learning Infrastructure & Platform team builds the foundational architecture powering AI and GenAI initiatives across Wealthsimple. We sit at the intersection of production…
Added 14 days ago
GS
Systems Designer - Ingénieur/développeur systèmes
Grantek Systems Integration
Montreal, QC
- Full-time
…design, Network design, Database design, Vision system design, Machine Safety system design, Servo motion control, Information Solution design, MES design, ERP connector development,…
Added 14 days ago
G
Systems Designer - Ingénieur/développeur systèmes
Grantek
Montreal, QC
- Full-time
…design, Network design, Database design, Vision system design, Machine Safety system design, Servo motion control, Information Solution design, MES design, ERP connector development,…
Added 14 days ago
A
MCP/AI Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
As an MCP/AI Developer you will build end-to-end features of that platform: MCP tools, agentic workflows, and the services behind them. You'll work hands-on across a modern, cloud-enabled…
Added 14 days ago
E
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
- Full-time
The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is the cloud platform engineering team responsible for building and operating the infrastructure that enables…
Added 14 days ago
Senior Agentic AI Engineer- Physical AI hub, Kitchener
Siemens
Kitchener, ON
We are seeking a Senior Agentic AI Engineer to build the harness reasoning, monitoring, recovery, and completion-gating capabilities for the Physical AI Runtime. This engineer will design…
Added 14 days ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
We are seeking a Machine Learning Systems and Infrastructure Developer to build the training infrastructure and model rollout layer for Physical AI. This developer will provision and…
Added 14 days ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
Support AI and machine-learning initiatives and evaluate emerging technologies for practical business value.
Added 15 days ago
C
Senior Director, Risk Data Strategy
CIBC
Toronto, ON
- Full-time
…processes and evaluate the use of artificial intelligence, machine learning, and advanced analytics to enhance risk data capabilities and…
Added 15 days ago
S
Product Manager - Rare Diseases
Sanofi
Toronto, ON
- Full-time
Strong communication and presentation skills, with the ability to engage diverse audiences including healthcare professionals, patient advocacy groups, senior leaders, and global partners.

Workday

Software Development Engineer - Agent Factory

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

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $112,000 - $168,000 CADAdditional CAN Location(s) Base Pay Range: $112,000 - $168,000 CAD · Full-time

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Job details

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $112,000 - $168,000 CADAdditional CAN Location(s) Base Pay Range: $112,000 - $168,000 CAD
Job type: Full-time
Posting language: English
Posted: Oct 2, 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 Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small, cross-functional pod, you’ll design and ship full stack solutions - from intuitive front-end experiences to resilient backend services that integrate AI-driven capabilities deeply into HR and Finance workflows.

This role is about turning powerful technology into products people actually use: scalable, reliable systems that simplify complex business processes for customers around the world. You’ll collaborate closely with machine learning engineers, product managers, and platform teams, owning features end to end and seeing your work run in production. If you enjoy building real products, solving meaningful problems, and working with people who care about quality and craft, you’ll feel right at home here.

Your responsibilities:

Build and deliver features that power AI agents embedded in HR and Financial workflows
Own services and experiences from development through production - you build it, you run it
Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning
Share knowledge, mentor teammates, and help raise the technical bar across the pod

About You

Basic Qualifications

5+ years of experience in software engineering
3+ years of experience designing, building, and operating highly scalable, distributed systems in production
3+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Other Qualifications

Experience building and operating SaaS products in cloud environments (AWS preferred)
Familiarity with the tradeoffs and architecture of modern distributed systems
Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
Hands-on experience with containerization technologies (Docker, Kubernetes)
Familiarity with Elasticsearch
Experience working within fast-paced, agile environments and multi-functional teams
Strong communication skills, with the ability to collaborate with both technical and non-technical partners
Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement

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: $112,000 - $168,000 CADAdditional CAN Location(s) Base Pay Range: $112,000 - $168,000 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 ship full-stack solutions to integrate AI-driven capabilities into HR and Finance workflows. You will own services from development through production, collaborating with cross-functional teams to build scalable and reliable systems.

Requirements

Candidates must have at least 5 years of software engineering experience and 3 years of experience building scalable distributed systems in cloud environments. A bachelor's degree in a technical field is required, with a preference for advanced degrees.

Skills

Software engineering
Distributed systems
Cloud computing
AWS
GCP
SaaS
DevOps
CI/CD
Automated testing
Observability
Docker
Kubernetes
Elasticsearch
Agile
Full-stack development
Machine learning

Benefits

Bonus plan
Stock grants
Flexible work
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
Agent Factory
AI
Machine Learning
Full-stack
Distributed Systems
Cloud Computing
AWS
GCP
SaaS
DevOps
CI/CD
Docker
Kubernetes
Elasticsearch
Agile
HR
Finance
Scalability
Platform Architecture
Software Engineering
Production-grade AI
Automated Testing
Observability
Cross-functional Teams

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