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K
Staff Software Engineer, Identity and Access Management
Kong
Toronto, ON
- Full-time
Lead technical strategy for Kong Identity's developer experience, including SDKs, webhooks, audit logging, and real-time analytics dashboards for token lifecycle visibility.
Added 15 mins ago
U
Full-Stack Software Engineer (Toronto)
Ultrassure
Toronto, ON
- Full-time
Ultrassure builds AI software for the insurance and reinsurance industry. Our platform helps underwriting teams turn complex submissions, contracts, endorsements, guidelines and claims…
Added 15 mins ago
SD
Master Data Analyst
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Calgary, AB
- Full-time
…Spartan’s Duvernay asset represents a scalable light-oil growth platform, while the Deep Basin provides stable free funds flow and liquids-rich natural gas development optionality. The…
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Client Solutions Associate
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Calgary, AB
- Full-time
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Microsoft Dynamics 365 Developer
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- Full-time
MICROSOFT POWER PLATFORM DEVELOPER | POWER APPS, POWER AUTOMATE, POWER BI, DATAVERSE
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PC
Service Management Analyst
Payments Canada
ON · Ontario, Canada
- $73,500 to $122,500 CAD / year
- Full-time
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T
VP, Advanced Client Analytics
TD
Toronto, ON
- Full-time
…together client feedback, complaints, advanced client experience analytics, research, and market benchmarks to identify opportunities for improvement. The team establishes and governs…
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Associate Data Engineer
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Vancouver, BC
- $80,000 to $100,000 CAD / year
- Full-time
We are seeking an Associate Data Engineer to design, build, and maintain the core data pipelines and analytics models that power our platform. Working alongside senior engineers, you will…
Added 1 hour ago
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Manager, Enterprise Data Platform & Governance
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Montreal, QC
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10+ years in of data platform, or data analytics experience
Added 1 hour ago
MP
Director, AI Governance and Enablement
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- $125,000 to $145,000 CAD / year
- Full-time
Manage relationships with AI platform vendors, consultants, and training partners.
Added 1 hour ago
E
DevOps - Spécialiste Solution / DevOps - Solution Engineer
EXFO
Montreal, QC
- Full-time
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D
Solutions Architect
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Advise clients on emerging solutions including content supply chain, customer data platforms, personalization, analytics, and generative AI
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EPL Digital Communications Specialist - Marketing and Communications Division
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…through website projects, user experience improvements, digital platform management, and ongoing optimization to create online experiences that support internal and external…
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Site Reliability Engineer Lead
TD
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- Full-time
Shape the platform strategy: Own and maintain the long-term roadmap for cloud, database, analytics, and infrastructure platforms, ensuring alignment with business priorities, architecture…
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VP, Advanced Client Analytics
TD
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- Full-time
…together client feedback, complaints, advanced client experience analytics, research, and market benchmarks to identify opportunities for improvement. The team establishes and governs…
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Principle Backup Engineer
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Toronto, ON
The Principal Engineer is to advise senior technology leaders on platform strategy, technology risk, resiliency posture, investment planning, and emerging industry trends, maintains…
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Senior Technology Project Manager, Group Functions Technology
Manulife
Toronto, ON
- Full-time
Experience delivering Data & AI, Generative AI, automation, analytics, cloud or modern data-platform initiatives.
Added 2 hours ago
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Campaign Production Analyst
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Toronto, ON
- Full-time
…email campaign teams with various stakeholders in Marketing, Analytics, IT, and Notifications to successfully deliver email…
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Data Analyst Intern (Winter/January 2027, 12 Months)
Internship List
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Media Planning, Manager
Publicis Groupe Holdings B.V
Toronto, ON
- Full-time
Extensive Learning & Development opportunities, including more than 15,000 learning programs via our online learning platform as well as a Professional Development Allowance
Added 3 hours ago
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Data & AI Engineer - Real World Data and Healthcare Intelligence
Sanofi
Toronto, ON
- Full-time
Fine-tune and optimize queries using Snowflake platform and databases techniques
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Senior Financial Analyst, FP&A
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- Full-time
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Added 3 hours ago
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Manager, Compliance – Model and Data Governance
TD
Toronto, ON
- Full-time
4.1 AI, Advanced Analytics and Compliance Data
Added 3 hours ago
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Executive Director, Global Markets Resource Optimization
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- Full-time
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Added 3 hours ago
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Workday

Manager, Machine Learning Engineering - Agent Factory (

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

Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $169,600 CAD - $254,400 CADPrimary CAN Base Pay Range: $169,600 - $254,400 CAD · Full-time

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Job details

Pay: Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $169,600 CAD - $254,400 CADPrimary CAN Base Pay Range: $169,600 - $254,400 CAD
Job type: Full-time
Experience: 7+ years of engineering experience
Posting language: English
Posted: Oct 29, 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

We are seeking a Manager to lead the development of AI agents for our HR and Finance business. You will be responsible for building and mentoring a high-performing engineering team, driving technical excellence and ensuring the delivery of robust, scalable and secure AI agent solutions that seamlessly integrate with our Workday ecosystem and deliver outstanding experiences for our customers.

Responsibilities:

Build, lead, and mentor a team of exceptional engineers.
Ensure timely project delivery to exceptional standards of our AI agents.
Work closely with product managers, data scientists and other stakeholders to translate business requirements into technical solutions
Collaborate with architects and principal engineers to ensure seamless integration with the Workday platform
Foster a culture of innovation, collaboration and continuous improvement and learning.
Evaluate and integrate cutting-edge AI technologies, including LLMs, RAG, and orchestration frameworks (e.g., LangGraph)
Collaborate with external vendors and open-source communities to leverage best-in-class AI technologies
Ensure all AI solutions adhere to data privacy, security, and compliance standards
Implement robust testing, monitoring and feedback loops to ensure agent performance and reliability
Ensure the scalability, reliability, and security of AI agent solutions within the Workday environment.

About You

Basic Qualifications:

7+ years of engineering experience
3+ years of engineering leadership delivering products at scale, with a strong focus on AI/ML and cloud-based systems

Other Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven ability to seek out and hire the highest performing professionals to build cutting edge products built on AI
Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks.
Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
Strong problem-solving, communication, and collaboration skills.
Experience with the Workday platform is a strong plus.

Workday Pay Transparency Statement

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 Location Base Pay Range: $169,600 CAD - $254,400 CADPrimary CAN Base Pay Range: $169,600 - $254,400 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

Lead and mentor a high-performing engineering team to develop and deliver robust, scalable AI agent solutions for HR and Finance. Collaborate with product managers, data scientists, and architects to ensure seamless platform integration and adherence to security standards.

Requirements

Requires 7+ years of engineering experience with at least 3 years in leadership roles focusing on AI/ML and cloud systems. A bachelor's or master's degree in Computer Science or a related field is preferred, along with deep expertise in LLMs and AI orchestration.

Skills

Machine learning
AI agents
LLMs
RAG
Orchestration frameworks
Cloud-based systems
Engineering leadership
Team management
Product delivery
API integration
Automation
Data privacy
Security compliance
System architecture
Mentoring

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
AI Agents
LLMs
RAG
LangGraph
Cloud Computing
Engineering Management
Software Architecture
API Integration
Automation
Data Privacy
Security
Compliance
HR Tech
Finance Tech
Workday Platform
Product Development
Mentorship
Scalability
Reliability
Orchestration Frameworks
Cross-functional Collaboration
Enterprise AI

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