Workday

Sr. Software Development Engineer - Agentic & Semantic System

Workday$140K — $210K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of software development experience, including architecture and scaling of software systems.
  • 5+ years of hands-on experience in Machine Learning or Agent systems from experimentation to monitoring.
  • Expert in either Machine Learning, MCP protocol, or semantic engine technologies.
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • Strong understanding of programming languages and frameworks such as Scala, Python, and PyTorch.

Responsibilities

  • Spearhead engineering efforts to create a unified data interaction platform for agents.
  • Deliver mission-critical capabilities meeting functional and quality requirements on schedule.
  • Collaborate with teams to design and optimize solutions for complex ML and Agentic systems.
  • Lead API development and design for the MCP server framework.
  • Mentor junior engineers and facilitate team collaboration.

Benefits

  • Flexible work model allowing a mix of in-office and remote work.
  • Opportunities for participation in a bonus plan and annual stock grants.
  • Strong focus on team community and collaboration through in-person meetings and events.
Full Job Description
About the Team
Being part of the Data Cloud organization at Workday, the team is building on the semantic platform to enable agentic access to Workday Data Cloud. The mission of the team is to accelerate agent development and provide a friction-less experience for agents to interact with federated data sources.

About the Role

In this pivotal role, you will spearhead the engineering efforts to bootstrap a unified platform that enables internal and external agents to interact seamlessly with the Workday Data Cloud through a robust semantic layer and MCP server framework. As a senior engineer you will be responsible to deliver mission-critical capabilities that meet rigorous functional and quality requirements on schedule.

About You

Basic Qualifications:

- 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 at least one of the following areas:
  • Machine Learning or Data Science, familiar with Agent frameworks and design patterns.
  • MCP protocol and server technologies
  • Semantic engine or BI, familiar with Semantic Modeling, Knowledge Representations, and BI frameworks.

- Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.

Other Qualifications:

- 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.

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.

About Workday

Workday, Inc. is a provider of enterprise cloud applications for finance and human resources. The Company delivers financial management, human capital management and analytics applications designed for various companies, educational institutions and government agencies. As part of its applications, the Company provides embedded analytics that capture the content and context of everyday business events, facilitating informed decision-making from wherever users are working. Its applications include Workday Financial Management, Workday Human Capital Management (HCM) and Other Applications. It also provides open, standards-based Web-services application programming interfaces, and pre-built packaged integrations and connectors. Workday, Inc. is headquartered in Pleasanton, California.
Learn more about Workday
Size
15,932 employees
Market Cap
$42.2 billion
Industry
Net Income
-$282.4 million
Founded
2005
5 Year Trend
+26.7%
Revenue
$4.3 billion
NASDAQ

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