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 T he 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 advantages, please click here .
Primary Location CAN.BC.Vancouver
Primary CAN Base Pay Range $169,600 - $254,400 CAD
Additional CAN Location(s) 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

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📌 Manager, Machine Learning Engineering - Agent Factory (British Columbia)
🏢 Workday
📍 British Columbia