Find work in Canada.

A simpler way to find your next job.

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 16 mins ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
…millions of people every day, from students and scientists to business leaders and innovators. As we embark on the next chapter of intelligent agentic experiences, you have the opportunity…
Added 16 mins ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
…millions of people every day, from students and scientists to business leaders and innovators. As we embark on the next chapter of intelligent agentic experiences, you have the opportunity…
Added 16 mins ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
…spreadsheet. It is a platform used by students, scientists, business leaders, and organizations to analyze information, solve problems, and get work…
Added 41 mins ago
BB
Data Engineer
Breathaplasta by Adaptavate
Montreal, QC · Urban agglomeration of Montreal, QC
- Full-time
To succeed in our mission, we are looking for a Data Engineer who will work with our technical teams to translate raw data into information that drives business decision making. This…
Added 41 mins ago
S
Enterprise Sales Engineer, Financial Services
Sierra
Toronto, ON
- $270,000 to $280,000 CAD / year
- Full-time
Own the end-to-end technical pre-sales process by scoping customer use cases, articulating business value, designing and demoing Sierra’s incredible platform, leading technical and…
Added 41 mins ago
S
Enterprise Sales Engineer, Consumer Business Services
Sierra
Toronto, ON
- $270,000 to $280,000 CAD / year
- Full-time
…and billing support, tuned to the voice and workflows of each…
Added 41 mins ago
S
Enterprise Sales Engineer - Strategic, Healthcare
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Go deep on a few accounts. Learn each customer's business well enough that you could be wearing their badge in their hallways
Added 41 mins ago
S
Enterprise Sales Engineer - Strategic, Financial Services
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Go deep on a few accounts. Learn each customer's business well enough that you could be wearing their badge in their hallways
Added 47 mins ago
S
Enterprise Sales Engineer
Sierra
Toronto, ON
- $260,000 to $270,000 CAD / year
- Full-time
Own the end-to-end technical pre-sales process by scoping customer use cases, articulating business value, designing and demoing Sierra’s incredible platform, leading technical and…
Added 1 hour ago
Enterprise Security Engineer
Opendoor
Toronto, ON
…data and operational expertise with the power of artificial intelligence to make online home selling and buying radically…
Added 1 hour ago
Agentic Analytics Engineer
Opendoor
Toronto, ON
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a…
Added 1 hour ago
S
Full Stack Engineer
Sunryse
Edmonton, AB
- Full-time
…and improve the internal tools that support our advisors and…
Added 2 hours ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 2 hours ago
B
Senior Software Engineer
BCI
Victoria, BC · Vancouver, BC · CA Victoria
- Full-time
This isn't a traditional IT role, and it isn't a traditional Software Engineer, Data Engineer, or Business Intelligence role either. You'll learn the business, build relationships, and…
Added 3 hours ago
B
Senior Software Engineer
BCI
Victoria, BC
- $106,000 to $128,000 CAD / year
- Full-time
This isn't a traditional IT role, and it isn't a traditional Software Engineer, Data Engineer, or Business Intelligence role either. You'll learn the business, build relationships, and…
Added 3 hours ago
B
Senior Software Engineer
BCI
Vancouver, BC
- $106,000 to $128,000 CAD / year
- Full-time
This isn't a traditional IT role, and it isn't a traditional Software Engineer, Data Engineer, or Business Intelligence role either. You'll learn the business, build relationships, and…
Added 3 hours ago
Gameplay Software Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
…Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or…
Added 3 hours ago
M
Engineering Manager
Manulife
Toronto, ON · Waterloo, ON
- Full-time
This is a technical leadership role focused on the production support, operational stability, and reliability of business-critical technology platforms. You will lead a team responsible for…
Added 3 hours ago
HT
PD Service - Mechanical
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 3 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 3 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 3 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 3 hours ago
GTM Engineer
ExaCare AI
Toronto, ON
We’re hiring a GTM Engineer to join our GTM Operations team. This is a true builder-first role: you will own our GTM technical stack, data and context layers, and the orchestration that…
Added 3 hours ago
PF
Data Analyst 1
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Reporting to the Lead Data Engineer, the Data Analyst 1 supports business decision-making through hands-on data analysis, reporting, and insight generation. This role works closely with…
Added 4 hours ago
P
Software Engineer
ProxyLink
Toronto, ON
- Contract
The successful candidate will collaborate with developers, architects, business analysts, infrastructure teams, quality assurance specialists, project managers, and other stakeholders…

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

Apply About employer

Applications open in a new tab.

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
Apply by: Oct 25, 2026
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.

Apply About employer

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

Report this job