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 agentic applications at Workday. You will build the agentic tooling for both unstructured and structured information retrieval across Workday’s vast, rich and inclusive datasets.
Specifically, you will:
Design and implement production-grade services,APIs, and ETL pipelines in the ML RAG platform, which is consumed by numerous AI-driven Workday products and high-priority agents
Apply distributed systems principles in production to address scalability, concurrency, fault tolerance, and performance challenges
Automate CI/CD and testing workflows, and proactively look for ways to improve developer experience
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 well-designed code and 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
Other Qualifications:
Understanding of object-oriented design principles. Proficiency with advanced Python concepts such as asynchronous and concurrent programming, generators, higher-order abstractions, Pydantic and Pyspark.
Preferred prior experience with building scalable services and pipelines for ML use cases in Production
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
Proficiency with cloud and container platforms, including containerized workloads and orchestration systems (e.g., AWS or GCP, Docker, Kubernetes)
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
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 .
Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $140,000 - $210,000 CADAdditional CAN Location(s) Base Pay Range: $140,000 - $210,000 CADSenior Software Development Engineer - AI Core • Vancouver, BC, Canada
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