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Added 45 mins ago
W
AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…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…
Added 20 hours ago
TH
Senior Integration Developer -C Business Intel
Trillium Health Partners
Mississauga, ON
- Full-time
Position: Senior Business Intelligence Data Engineer
Added 1 day ago
E
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
- Full-time
…full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving…
Added 1 day ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 1 day ago
W
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…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…
Added 1 day ago
TR
Staff Software Engineer – AI
Thomson Reuters
Toronto, ON
- Full-time
We are looking for an engineer who has personally built and delivered AI features into production as part of enterprise software products. This is not a pure architecture, research, data…
Added 1 day ago
A
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
…full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving…
Added 1 day ago
S
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
- Full-time
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 1 day ago
AI Engineer Intern
Electronic Arts
Vancouver, BC
As a Software Engineer with expertise in AI/ML systems and platform development, you will help create a scalable AI Platform.
Added 2 days ago
M
Senior Applied AI Engineer – GenAI & Actuarial Systems
Manulife
Toronto, ON
- Full-time
Engineer features from large structured and unstructured datasets and ensure solutions remain stable as data and assumptions evolve.
Added 2 days ago
AW
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Montreal, QC
- Full-time
…Generative AI (GenAI) solutions? Amazon has been investing in research and application of ML for decades. We are looking for people who can leverage their machine learning and Generative AI…
Added 2 days ago
TA
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics Inc.
Toronto, ON
- Full-time
Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise…
Added 2 days ago
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon
Montreal, QC
…Generative AI (GenAI) solutions? Amazon has been investing in research and application of ML for decades. We are looking for people who can leverage their machine learning and Generative AI…
Added 3 days ago
W
Sr Associate Machine Learning Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…products at scale, including taking products through applied research, design, implementation, production, and production-based…
Added 3 days ago
SS
Senior Software Developer, AI Solutions
System Soft Technologies
Quebec, QC
- Full-time
client is looking for a senior software engineer - a builder first - for our AI Solutions team. This is a hands-on development role, not machine-learning research: you’ll build production…
Added 3 days ago
LT
Machine Learning Engineer
Lorven Technologies Inc.
Toronto, ON
- Contract
…scalable, secure, and reliable platform services. The Senior ML Engineer builds AI pipelines, enforces model evaluation frameworks, ensures strict security and audit compliance for…
Added 3 days ago
C
Senior Java Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled Assistant Vice President (AVP), Software Senior Engineer, to design, develop, and maintain robust middleware solutions. The ideal candidate will have deep…
Added 3 days ago
Senior Manager, Data Product Manager
Scotiabank
Toronto, ON
…Harbour target architecture and its producer/consumer model ("engineer once, consume many"). This includes the migration and rationalization of legacy on-premises and Google Cloud Platform…
Added 4 days ago
RB
Principal AI Engineer
Royal Bank of Canada
Calgary, AB
- Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 4 days ago
M
Senior Principal Software Engineer, R&D
Mastercard
Toronto, ON
- Full-time
Mastercard is looking for a Senior Principal Software Development Engineer to join the Mastercard Foundry Research and Development team in our Toronto location. In this role, you will…
Added 4 days ago
LT
Senior Machine Learning Engineer for AI platform
Lorven Technologies Inc.
Toronto, ON
- Contract
The Senior ML Engineer builds AI pipelines, enforces model evaluation frameworks, ensures strict security and audit compliance for regulated banking environments, and creates operational…
Added 7 days ago
R
Principal AI Engineer
RBC
Calgary, AB
- Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 7 days ago
FA
Founding Sales Engineer
Featherless AI
Remote, Canada
- $150,000 to $190,000 USD / year
- Full-time
- Remote
Our cloud provides instant access to 40,000+ open-source AI models and the research innovations powering next-generation efficiency, reliability, and model optimization.
Added 7 days ago
ME
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
- $95,000 to $135,000 CAD / year
- Full-time
Morson Edge is seeking an experienced Cloud Engineer to join a growing infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is…
Added 8 days ago
C
Technical Lead, Innovation
Croesus
Laval, QC
- Full-time
…process, but someone who sets the technical bar by being the best engineer in the room, and who is genuinely obsessed with how good software gets…

Workday

Senior 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 1, 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, 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: 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 drive the end-to-end system design, implementation, and product integration for intelligent agents within the Agent Factory team. This involves orchestrating complex agentic workflows and ensuring the reliable, governed deployment of AI models into production-grade software.

Requirements

Candidates must have 5-8+ years of professional software engineering experience with a strong focus on backend architecture and LLM/AI application development. You should possess deep expertise in scaling AI orchestration, cloud platforms, and implementing responsible AI guardrails for enterprise data.

Skills

Backend architecture
Distributed systems
API design
LLM
Agentic systems
Machine learning engineering
AI orchestration
Multi-agent frameworks
RAG pipelines
Cloud computing
AWS
GCP
System design
Responsible AI
Technical leadership

Benefits

Bonus plan
Stock grants
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Senior AI Engineer
Agent Factory
LLM
Foundation Models
Distributed Systems
API Design
Machine Learning
AI Orchestration
Multi-agent Frameworks
RAG
Cloud Computing
AWS
GCP
Responsible AI
Data Privacy
System Architecture
Enterprise Software
Latency Optimization
Token Management
Prototyping
Benchmarking
Technical Leadership
Mentorship
Software Engineering
Product Integration
Scalability
Governance
HR Data
Financial Data
Full-stack

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