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Jobs in Canada

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Added 2 days ago
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Resiliency Architect
Intact
Montreal, QC
- Full-time
…transform team workflows, and deliver resilient, intelligent user…
Added 3 days ago
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Sr AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal AI Engineer in Agent Factory, you will lead the end-to-end system design, architectural framework, and product integration of Workday’s next generation of intelligent agents.…
Added 3 days ago
Principal AI Architect
Robots and Pencils
Canada
We’re looking for a Principal Architect to lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI. This role is ideal for a deeply experienced engineer…
Added 3 days ago
Lead Software Engineer, Full-Stack Applications - AI Innovation squads
Fitch Group
Toronto, ON
Lead Software Engineer, Full-Stack Applications – Innovation Squads
Added 3 days ago
FG
Lead Software Engineer, Full-Stack Applications - AI Innovation squads
Fitch Group, Inc.
Toronto, ON
- Full-time
Lead Software Engineer, Full-Stack Applications – Innovation Squads
Added 5 days ago
RB
Senior Principal AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML…
Added 5 days ago
SL
Principal AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Canada IT – Platforms and Engineering Domain is looking for a Principal AI Engineer with at least 10 years of engineering experience. This role will be instrumental in driving innovation,…
Added 5 days ago
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Staff Software Engineer
Lantern
Vancouver, BC
- Full-time
Lantern is seeking a Staff Software Engineer to join our expanding product engineering pods. This is a strategic and highly visible role focused on driving your team’s architectural…
Added 5 days ago
R
Senior Principal AI Engineer
RBC
Toronto, ON
- Full-time
We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML…
Added 8 days ago
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Principal MCP/AI Developer
Autodesk
ON · Ontario, Canada
- Full-time
As the Principal MCP/AI Developer, you will define and drive the technical direction of that platform - its capability/tool model, agent-orchestration architecture, trust model, and the way…
Added 8 days ago
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Principal MCP/AI Developer
Autodesk
Toronto, ON
- Full-time
As the Principal MCP/AI Developer, you will define and drive the technical direction of that platform - its capability/tool model, agent-orchestration architecture, trust model, and the way…
Added 9 days ago
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Principal AI Software Engineer
Mphasis
Toronto, ON
- Full-time
We are seeking a hands-on AI Engineer / Generative AI Developer to design, develop, test, and deploy enterprise AI applications on Google Cloud Platform (GCP). The ideal candidate will have…
Added 9 days ago
RB
Principal Engineer, AI Governance Platform
Royal Bank of Canada
Toronto, ON
- Full-time
…that enables responsible AI adoption at enterprise scale. As Principal Engineer for AI Governance, you'll own the end-to-end technical vision for how RBC governs AI - from the governance…
Added 9 days ago
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Staff Al Engineer, AI Governance Platform
RBC
Toronto, ON
- Full-time
This is a hands-on Staff Engineer role where you'll implement production-grade React applications that serve as the human interface to RBC's AI governance plane. You'll work under the…
Added 11 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Machine Learning Engineer, Associate Director – AI Innovation Teams
Added 11 days ago
CO
Principal Associate, AI Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Principal Associate, AI Engineer
Added 11 days ago
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Principal Applied AI/ML Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are building the next generation of AI-powered design experiences for AutoCAD and Civil 3D. As an Applied AI Engineer, you will sit at the intersection of emerging AI technology and…
Added 12 days ago
C
Principal Machine Learning Developer
Cisco
AB · Calgary, Alberta
- Full-time
As a Principal Machine Learning Engineer Developer you will define how AI, LLMs, and autonomous operations transform network and security management across Cisco’s wireless, wired, cloud,…
Added 15 days ago
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Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and…
Added 15 days ago
Staff Software Engineer
Lantern
Vancouver, BC
Lantern is seeking a Staff Software Engineer to join our expanding product engineering pods. This is a strategic and highly visible role focused on driving your team’s architectural…
Added 15 days ago
L
Staff Software Engineer
Lantern
Vancouver, BC
- Full-time
Lantern is seeking a Staff Software Engineer to join our expanding product engineering pods. This is a strategic and highly visible role focused on driving your team’s architectural…
Added 16 days ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Architect end-to-end solutions: ingestion, storage, processing, consumption layers
Added 16 days ago
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Principal Engineer, Digital Manufacturing
''
Toronto, ON
- Full-time
The Principal Engineer, Manufacturing Insights, is a high-impact leadership role responsible for driving McCain’s global digital manufacturing transformation. This role leads the strategy,…
Added 18 days ago
Data Scientist (Askuity division)
The Home Depot
Toronto, ON
…an impact, and takes pride in guiding customers to the right solutions for their projects? If you’re also naturally curious and eager to keep learning, consider starting or growing your…
Added 18 days ago
AL
Principal Product Applications Engineer - Scorpio
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…

Workday

Sr AI Engineer

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

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $169,000 - $253,000 CADAdditional CAN Location(s) Base Pay Range: $169,000 - $253,000 CAD · Full-time

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Job details

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $169,000 - $253,000 CADAdditional CAN Location(s) Base Pay Range: $169,000 - $253,000 CAD
Job type: Full-time
Posting language: English
Posted: Oct 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

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 Principal AI Engineer in Agent Factory, you will lead the end-to-end system design, architectural framework, and product integration 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 architect how foundational models are safely and reliably integrated into functional, production-grade software. You will own the design, experimentation, and orchestration of complex agentic workflows, translating cutting-edge AI capabilities into enterprise-grade business value. Because these agents interact with sensitive HR and financial data at a global scale, you will be a core champion for Responsible and Governed AI - architecting systems with strict guardrails for data privacy, predictability, and explainability. This role requires a balance of high-level system design and hands-on execution, solving critical product constraints like latency, cost, and reliability.

About You

Basic Qualifications

10+ years of professional software engineering experience with deep expertise in distributed systems, cloud computing, and API design, plus 2+ years of dedicated focus building production-grade LLM/agentic systems OR 7+ years of experience specifically within Machine Learning Engineering or AI application development, with 3+ years dedicated to shipping LLM-backed products.
3+ years of hands-on experience integrating large models (LLMs, Foundation Models) and modern AI APIs into user-facing enterprise products.
2+ years of experience designing and scaling complex AI orchestration architectures - including multi-agent frameworks, routing layers, and advanced RAG pipelines.
6+ years of experience optimizing application performance (specifically tackling constraints like API latency and user interaction design), with 2+ years applied to modern LLM constraints (such as token management, cost optimization, and context-window efficiency).
6+ 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 Stewardship: Deep understanding of how to implement governance, guardrails, security layers, and evaluation mechanisms necessary when deploying autonomous agents over sensitive enterprise HR and financial data.
Proven track record of technically leading cross-functional pods, mentoring senior engineers, and steering the product development lifecycle from abstract concept to successful deployment.
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 & Integration: Expert-level ability to architect robust application layers that wrap around AI models, ensuring system predictability, error handling, and seamless UX integration.
Experimentation & Evaluation: Skilled in rapid prototyping, benchmarking model outputs against product requirements, and managing continuous experimentation cycles for agentic behavior.
Thrives in Ambiguity: Highly autonomous leader capable of taking complex, open-ended product goals and turning them into scalable, concrete 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: CAN.BC.VancouverPrimary CAN Base Pay Range: $169,000 - $253,000 CADAdditional CAN Location(s) Base Pay Range: $169,000 - $253,000 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 lead the end-to-end system design and architectural framework for Workday's next generation of intelligent agents. This involves orchestrating complex agentic workflows and ensuring the safe, reliable integration of foundational models into production-grade software.

Requirements

Candidates must have 10+ years of professional software engineering experience with deep expertise in distributed systems and cloud computing. A strong background in building production-grade LLM-backed products and designing complex AI orchestration architectures is required.

Skills

Distributed systems
Cloud computing
API design
LLM
Agentic systems
Machine learning
AI orchestration
RAG pipelines
System design
Responsible AI
Data privacy
Cross-functional leadership
Product delivery
Software engineering
Scalable systems

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Distributed Systems
Cloud Computing
API Design
LLM
Machine Learning
Agentic Frameworks
RAG
System Architecture
Responsible AI
Data Privacy
AWS
GCP
Enterprise Software
Product Delivery
Cross-functional Leadership
Software Engineering
Scalability
Latency Optimization
Token Management
Context-window Efficiency
Governance
Security Layers
Evaluation Mechanisms
Prototyping
Benchmarking
Human Workflows
Intelligent Agents
Production-grade AI
Fortune 500

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