Manager, Software Development Engineering - AI Platform
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Key skills for this role
About the Role
Workday is looking for an Engineering Manager to lead a team building the Agent Platform—the core infrastructure for developing, deploying, and operating AI agents in production. You will drive execution, shape technical direction, and grow a high-performing team.
Key Skills for This Role
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
Requirements
- 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)
Full Job Posting
About the Team
- We are in the AI Platform organization at Workday and we solve meaningful problems 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.
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.
- You will lead a team of engineers working on backend services, distributed systems, and developer tooling that power agent based applications.
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.
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.
Compensation
- Primary CAN Base Pay Range: CAD 140,000 CAD 210,000 CAD.
- Additional CAN Location(s) Base Pay Range: CAD 140,000 CAD 210,000 CAD.
Our Approach to Flexible Work
- With Flex Work, we spend at least half (50%) of our time each quarter in the office or in the field with customers, prospects, and partners.
- This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs.
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