Sr. Software Development Engineer - Agentic System

Workday Workday · Enterprise · Vancouver, BC

Senior Software Development Engineer role focused on building agentic capabilities on a platform that enables internal and external agents to interact with Workday Data Cloud through a semantic layer and MCP server framework. Responsibilities include delivering mission-critical capabilities, architecting, and evaluating agent effectiveness and accuracy.

What you'd actually do

  1. spearhead the engineering efforts to build agentic capabilities on a platform that enables internal and external agents to interact seamlessly with the Workday Data Cloud through a robust semantic layer and MCP server framework.
  2. responsible to deliver mission-critical capabilities that meet rigorous functional and quality requirements on schedule.
  3. drive the engineering effort to architect and evaluate the effectiveness and accuracy of the agents.

Skills

Required

  • 8+ years experience in software development engineering, architecting, building, and scaling robust and efficient software systems.
  • 5+ years hands on experience delivering Machine Learning or Agent systems from experimentation, implementation, validation and monitoring.
  • Expert in Machine Learning or Data Science, familiar with Agent frameworks and design patterns.
  • Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
  • Strong understanding of development lifecycles for projects utilizing programming languages and frameworks like Scala, Python, PyTorch, LangChain, etc.
  • Strong ability in Algorithmic Thinking to design and optimize solutions for complex ML and Agentic systems.
  • Solid experience with API Development, and experience in designing and building MCP server.
  • Strong understanding of Object-Oriented Design principles and their application in designing scalable software architectures.
  • Proven ability to lead Team Collaboration within a software development team and mentor junior engineers.
  • Strong skills in verbal and written communications.

What the JD emphasized

  • 5+ years hands on experience delivering Machine Learning or Agent systems from experimentation, implementation, validation and monitoring.
  • Expert in Machine Learning or Data Science, familiar with Agent frameworks and design patterns.

Other signals

  • agentic capabilities
  • semantic layer
  • friction-less experience for agents to interact with federated data sources
  • architect and evaluate the effectiveness and accuracy of the agents