Your work days are brighter here.At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, its what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.   Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.  In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.About the TeamWould you like to be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers workday? Join the AI Agent Engineering team, where were pioneering cutting-edge HR &amp; Finance AI Agents that deeply integrate within the Workday suite.About the RoleDo you love looking through evaluations line-by-line? Do you believe that an agent without a proper dataset is like bread without flour—it might be a nice idea, but theres nothing to give it substance or shape. Its just a lot of air. We are looking for a person who is driven by a passion for ensuring agentic success through thoughtful and scalable datasets. This is a unique opportunity to contribute to and help define the foundational evaluation datasets for all agentic workflows at Workday. What Youll DoYou will get to collaborate on building the foundational blueprints for our agents. We believe that effective evaluation isnt just a final check—its an iterative process of building the right datasets that truly capture the complexities of real-world scenarios. Your primary responsibility will be to craft and refine these datasets, turning abstract performance goals into tangible, measurable benchmarks that drive continuous improvement.This role is a chance to define a new standard for Workdays AI initiatives. You will be instrumental in building a robust, scalable evaluation machine that will become the backbone of our agentic workflows across the entire company.About YouWe are looking for someone who thrives on the challenge of defining what good looks like in a collaborative and forward-thinking environment. You should be passionate about helping to build a comprehensive system and are confident in your ability to contribute to a legacy of excellence in this critical field.Basic Qualifications<ul><li>8+ years of experience with product engineering leading the development and delivery of highly available cloud products</li><li>5+ years of experience in AI, machine learning, or intelligent automation, with a focus on enterprise applications.</li><li>Deep understanding of LLMs, AI agents, and orchestration frameworks (e.g. LangGraph)</li><li>Proficiency in Python, cloud AI services (AWS, Azure, GCP), and AI model deployment.</li></ul> Other Qualifications<ul><li>Bachelors degree in a relevant field, such as Computer Science, Mathematics, or Engineering.</li><li>Experience with enterprise-grade AI architectures, API integration, and large-scale automation.</li><li>Hands-on experience with vector databases, retrieval-augmented generation (RAG), and fine-tuning LLMs.</li><li>Proven ability to solve complex business challenges by translating them into innovative, AI-powered solutions that drive measurable results</li><li>Experience in data privacy, security, and compliance for AI in enterprise environments</li><li>Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring.</li><li>Experience with fine-tuning models including identifying and curating datasets as well as experimenting with models for iterative improvement </li></ul> Workday Pay Transparency StatementThe 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 <a target="_blank" href="https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates">click here</a>.Primary Location: USA.CA.Pleasanton  Primary Location Base Pay Range: $230,400 USD - $345,600 USD  Additional US Location(s) Base Pay Range: $194,600 USD - $345,600 USDAdditional Considerations: If performed in Colorado, the pay range for this job is $204,800 - $307,200 USD based on min and max pay range for that role if performed in CO.<div><div><div><div><div><div><div>The application deadline for this role is the same as the posting end date stated as below:  </div></div></div></div></div></div></div>09/19/2025 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 youll 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.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

Workday

Principal Data Engineer

Workday

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