Find work in Canada.

326,943 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Save this search

Added 24 mins ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
We're on the hunt for a top-tier Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing fleet…
Added 24 mins ago
Firmware Engineer
Corvita Biomedical
Toronto, ON
Full-time
We are seeking a hands-on Embedded Systems Engineer to own both embedded firmware and MCU-based PCB design for assigned ARK subsystems. This role spans requirements, electronics…
Added 24 mins ago
R&D Biomedical Engineer
Corvita Biomedical
Toronto, ON
Full-time
An optional portfolio, publication, public repository, or non-confidential work sample showing biomedical sensing, systems integration, software support, or mechanical support.
Added 24 mins ago
University Co-Op Student - Telecom Operations Support - 8-12 Months - Winter 2027 - Toronto
Hydro One Networks Inc
ON · Rexdale, ON
…telecommunication engineering designs in various operations support systems (OSS) to support operating and planning functions across the organization. We are looking for an enthusiastic,…
Added 53 mins ago
Electrical Engineer
Corvita Biomedical
Toronto, ON
Full-time
We are looking for a hands-on Electrical Engineer to develop ARK's electrical architecture and power systems from requirements and circuit design through verification and pilot…
Added 1 hour ago
AI Mobile Engineer- IOS
Zafin
Toronto, ON
Full-time
…billing, loyalty, and relationship management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise…
Added 3 hours ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…
Added 3 hours ago
Senior Microsoft Cloud & Systems Engineer
NEXSATE
Edmonton, AB
Full-time
We provide managed IT services, cloud solutions, cybersecurity, network and infrastructure services, backup and disaster recovery, systems integration, software development and consultancy.
Added 4 hours ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
As a Generative AI Cloud Operations Engineer for clinical trial design, planning, and operational optimization on our team, you will lead the development and management of AI operations…
Added 6 hours ago
AI Mobile Engineer- IOS
Zafin
Toronto, ON
…billing, loyalty, and relationship management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise…
Added 7 hours ago
Frontend Engineer
Jobright.ai
Canada
Full-time
…process and helps users reach better job outcomes. The Frontend Engineer builds accessible, reliable web interfaces by implementing responsive designs, integrating APIs, and supporting…
Added 7 hours ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…
Added 7 hours ago
Full-Stack, Frontend Leaning, SWE
Affiniti
Canada
$150,000 to $240,000 USD / year
Full-time
…businesses that hold American communities together, and the software serving them has never reflected how much they…
Added 8 hours ago
SCADA Engineer Candidates
EXONIX - Global Industrial Company
Engineer, BC
Full-time
We are seeking a skilled BMS Engineer to join our team and play a key role in designing, implementing, and maintaining cutting-edge building management systems for our clients.
Added 12 hours ago
Frontend Engineer
Jobright.ai
Canada
Full-time
…process and helps users reach better job outcomes. The Frontend Engineer builds accessible, reliable web interfaces by implementing responsive designs, integrating APIs, and supporting…
Added 14 hours ago
RTL Semiconductor Engineer
O-HIVE.AI
Windsor, ON
Full-time
The engineer will contribute to the complete ASIC development lifecycle, including architecture definition, RTL design, IP integration, verification, synthesis, timing closure, power…
Added 18 hours ago
Senior Applications Engineer
Synopsys Inc
Ottawa, ON
Full-time
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP,…
Added 19 hours ago
Customer Success Solutions Specialist
Teltoo (Acquired by Haivision)
Success, SK
Full-time
The Customer Success Engineer (CSE) combines strong technical expertise with a customer-focused approach to deliver an outstanding post-sale experience, from onboarding through day-to-day…
Added 19 hours ago
Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
Full-time
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 22 hours ago
Landscape Architect
AtkinsRéalis
Toronto, ON
Full-time
…creating urban and rural environments that foster the seamless integration of transportation systems with the built and natural environment. This approach aims to improve efficiency,…
Added 1 day ago
Senior Cryptographic Protocol Engineer
SuperQubit Inc.
Markham, ON
Full-time
Rust will be the primary implementation language, but this is a systems and network-security role rather than a conventional application-development position. The ideal candidate has strong…
Added 1 day ago
Cryptographic Systems Engineer (Post-Quantum)
SuperQubit Inc.
Markham, ON
Full-time
Job Title: Cryptographic Systems Engineer (Post-Quantum)
Added 1 day ago
Senior Software Developer
Royal Bank of Canada
Toronto, ON
Full-time
We're looking for a Senior Backend Engineer with a passion for operational excellence and security to join our team and help shape the financial future of the next generation. You'll work…
Added 1 day ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
This role is suited for engineers with experience building native C++ software close to the operating system, particularly in performance-sensitive and reliability-critical environments.…
Added 1 day ago
Senior Software Engineer- Telecom
Photon-IV
Canada
Full-time
The Senior Software Engineer – Telecom is a full-time, hybrid role based in Canada, with a mix of on-site collaboration and work-from-home flexibility. This role is responsible for leading…

Workday

Senior AI Engineer - Agent Factory

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 14, 2026
Posting language: English
Posted: Sep 14, 2026

Apply About employer

Applications open in a new tab.

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, AI 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 Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent agents. While our ML Engineers focus on building, training, and optimizing foundational algorithms, your mission is intelligence orchestration and product delivery - connecting the brain to the product.

Sitting at the intersection of AI capabilities, enterprise platforms, and human workflows, you will develop and integrate foundational models safely and reliably into functional, production-grade software. You will be hands-on in the design, experimentation, and orchestration of complex agentic workflows, translating cutting-edge AI capabilities into scalable business value. Because these agents interact with sensitive HR and financial data at a global scale, you will be a key contributor to Responsible and Governed AI - implementing strict guardrails for data privacy, predictability, and explainability within your pod. This role requires a balance of domain-level system architecture and rigorous execution, solving critical product constraints like latency, cost, and reliability.

About You

Basic Qualifications

8+ years of professional software engineering experience with strong expertise in backend architecture, distributed systems, and API design, plus 1+ years of dedicated focus building production-grade LLM/agentic systems OR 5+ years of experience specifically within Machine Learning Engineering or AI application development, with 2+ years dedicated to shipping LLM-backed products.
2+ years of hands-on experience integrating large models (LLMs, Foundation Models) and modern AI APIs into user-facing enterprise products.
1+ years of experience designing and scaling AI orchestration architectures - including multi-agent frameworks, routing layers, or advanced RAG pipelines.
4+ years of experience optimizing application performance (specifically tackling constraints like API latency and user interaction design), with 1+ years applied to modern LLM constraints (such as token management, cost optimization, and context-window efficiency).
4+ years of proven experience leveraging cloud computing platforms (e.g., AWS, GCP) to deploy highly responsive, scalable systems.

Other Qualifications

Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field.
Responsible AI Implementation: Strong understanding of how to execute governance, guardrails, security layers, and evaluation mechanisms necessary when deploying autonomous agents over sensitive enterprise HR and financial data.
Technical Leadership & Mentorship: Proven track record of technically leading engineering workstreams within a pod, taking ownership of the development lifecycle, and mentoring junior-to-mid level engineers.
Product-First AI Mindset: Deep focus on business value, user experience, and applying deep learning/large models directly to solve practical end-user challenges.
System Design & Reusability: Proven ability to architect robust application layers that wrap around AI models, establishing reusable patterns for system predictability, error handling, and seamless UX integration.
Experimentation & Evaluation: Skilled in rapid prototyping, benchmarking model outputs against product requirements, and setting up automated evaluation metrics (e.g., assessing retrieval quality and agentic behavior).
Thrives in Ambiguity: Highly autonomous builder capable of taking open-ended product goals and breaking them down into concrete, scalable engineering realities.

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: USA.CO.Boulder

Primary Location Base Pay Range: $186,000 USD - $278,000 USD

Additional US Location(s) Base Pay Range: $176,000 USD - $312,000 USD

Additional Considerations:

The application deadline for this role is the same as the posting end date stated as below:

10/15/2026

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 [email protected], 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 About employer

More about this job

Responsibilities

Drive the end-to-end system design and implementation of intelligent agents, connecting foundational AI models to production-grade software. Implement strict guardrails for data privacy and explainability while optimizing for latency, cost, and reliability.

Requirements

Requires 8+ years of software engineering experience (or 5+ in ML) with a strong focus on backend architecture and production-grade LLM systems. Candidates must have proven experience in AI orchestration, cloud deployment, and technical leadership within a pod structure.

Skills

Backend Architecture
Distributed Systems
API Design
LLM Orchestration
Agentic Workflows
RAG Pipelines
Cloud Computing
AWS
GCP
Responsible AI
System Design
Multi-agent Frameworks
Token Management
Performance Optimization
Technical Leadership
Rapid Prototyping

Benefits

Bonus Plan
Annual Refresh Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
LLM
Foundation Models
Agentic Systems
RAG
Distributed Systems
AWS
GCP
Responsible AI
Governance
API Design
Backend Architecture
Multi-agent Frameworks
Token Management
Context-window Efficiency
Enterprise Software
HR Data
Financial Data
System Predictability
Error Handling
Benchmarking
Automated Evaluation
Scalability
Latency Optimization
Software Engineering
Machine Learning
Product Integration
Cloud Computing
Technical Mentorship
Cross-functional Teams

Report this job