Senior Software Engineer - AI Core (Python)

About the Role

As a Senior Software Development Engineer on the AI Core team, you will be primarily responsible for designing, building, and operating the software systems that host, run, and scale AI-powered applications at Workday. Specifically, you will:

• Work closely with machine learning engineers to write and maintain production-grade backend services that power AI-driven capabilities and agent applications

• Design and implement APIs and service integrations that enable AI capabilities to be consumed across Workday products and platforms

• Build and operate data ingestion and ETL pipelines that support AI application workflows

• Apply distributed systems principles in production to address scalability, concurrency, fault tolerance, and performance challenges

• Ensure systems meet enterprise requirements for security, privacy, robustness, and compliance

• Own services through their full lifecycle, including deployment, monitoring, debugging, and ongoing operational improvements

About You

You are a strong technical leader with deep Python expertise and solid software engineering skills, capable of writing beautiful, well-designed code while delivering solutions efficiently.

Basic Qualification:

• 8+ years of professional software development experience, including architecting, building, and scaling secure, robust, and efficient software systems

• 5+ years of experience with Python development

• Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent practical experience

Technical Skills:

• Understanding of object-oriented design principles and ability to apply them in a Python context

• Proficiency with advanced Python concepts, such as asynchronous and concurrent programming, generators, and higher-order abstractions

• Ability to write clean, testable, and well-structured code, with high standards for clarity, aesthetics, and long-term maintainability

• Deep systems knowledge, including comfort operating in and debugging Unix/Linux environments, fluency with command-line tooling, and understanding of practical networking fundamentals

• Understanding of distributed systems concepts, including concurrency, fault tolerance, and performance tradeoffs

• Ability to design and build well-defined, stable APIs and service interfaces for consumption by other teams and systems

• Proficiency with cloud and container platforms, including containerized workloads and orchestration systems (e.g., AWS or GCP, Docker, Kubernetes)

Leadership and Communication Skills:

• Ability to collaborate effectively across teams, working closely with other engineers while maintaining independent execution

• Ownership mindset, able to take responsibility for a work area and deliver high-quality, reliable systems

• Ability to mentor and coach other engineers, promoting best practices and raising the engineering bar

• Architectural thinking skills, with the ability to contribute meaningful ideas and practical solutions in design and architecture discussions

• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders

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 .

Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $140,000 CAD - $210,000 CADPrimary CAN Base Pay Range: $140,000 - $210,000 CAD