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Workday

Manager, Software Development Engineering - AI Platform

Posted Yesterday
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In-Office
Toronto, ON
Senior level
In-Office
Toronto, ON
Senior level
Lead a team of engineers developing the Agent Platform for AI agents. Responsibilities include roadmap execution, system design, best practices, and team development.
The summary above was generated by AI

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

Do you want to build impactful, AI features and solutions that will be used by millions of end-users? We are in the AI Platform organization at Workday and we solve meaningful problems that lie at the intersection of machine learning and enterprise-scale software! We build advanced AI solutions that power the core Workday software by modeling user behavior and providing intelligent automation. Come join us if you are interested in working on cutting edge technology, having fun and making an impact!

About the Role

We are looking for an Engineering Manager to lead a team building our Agent Platform—the core infrastructure that enables teams to develop, deploy, orchestrate, and operate AI agents in production.

In this role, you will lead a team of engineers working on backend services, distributed systems, and developer tooling that power agent-based applications. You’ll be responsible for driving execution, shaping technical direction, and building a high-performing team that delivers scalable, reliable platform capabilities.

You’ll partner closely with product, applied AI, and infrastructure teams to define how agent systems are built and operated across the organization. This role is ideal for a leader who enjoys growing teams, driving clarity in ambiguous spaces, and building foundational platforms for emerging technologies.
Responsibilities:

  • Lead, mentor, and grow a team of engineers building the Agent Platform.

  • Drive execution of the team’s roadmap, ensuring high-quality, timely delivery of platform capabilities.

  • Partner with engineers to design and build systems for agent execution, orchestration, lifecycle management, and reliability.

  • Collaborate with cross-functional partners (product, AI/ML, infrastructure) to define requirements and prioritize investments.

  • Contribute to technical architecture and design decisions, balancing short-term delivery with long-term scalability.

  • Establish best practices for code quality, testing, observability, and operational excellence.

  • Build a strong engineering culture focused on ownership, collaboration, and continuous improvement.

  • Help define and evolve the platform strategy for enabling agent-based applications across the organization.

  • Manage team health, hiring, performance, and career development.

About You

Basic Qualifications:

  • 5+ years of software engineering experience, with 2+ years in a people management role.

  • 4+ years of building and operating production-grade backend or platform systems.

  • 4+ years of technical background in distributed systems and scalable service architecture.

  • 4+ years experience working with Python (or similar languages such as Java or Go).

Other Qualifications:

  • Experience leading teams working on platforms, infrastructure, or developer tooling.

  • Experience delivering complex technical projects in ambiguous, fast-moving environments.

  • Familiarity with AI/ML systems or LLM-powered applications in production.

  • Familiarity with Kubernetes and cloud-native systems.

  • Track record of building and growing high-performing engineering teams.

  • Experience with workflow orchestration, distributed pipelines, or complex multi-step systems.

  • Strong ability to partner across teams and influence technical direction.

  • Understanding of observability, reliability engineering, and production operations.

  • Experience defining technical strategy and long-term platform vision.

  • Excellent communication, prioritization, and execution skills.

  • Experience hiring and scaling teams in a high-growth environment.


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.Vancouver

Primary CAN Base Pay Range: $140,000 - $210,000 CAD

Additional CAN Location(s) Base Pay Range: $140,000 - $210,000 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.


At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email
[email protected].

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.

Top Skills

Go
Java
Kubernetes
Python

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