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, it's 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.
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About the Team
Join the AI Agent Engineering team, where we're pioneering innovative HR & Finance AI Agents that deeply integrate within the Workday suite. Be part of an innovative, agile force architecting intelligent agents that will redefine our customers' workday.About the Role
We are seeking an expert AI Agent Principal Engineer who will serve as a lead engineer for a multi-functional team building ground-breaking AI agents for HR & Finance. This role is critical in defining the tooling strategy, staying ahead of industry trends, and ensuring our AI solutions seamlessly integrate deeply within the Workday stack. You will be responsible for evaluating and selecting AI frameworks, orchestrating agent workflows, and using LLMs, automation frameworks, and enterprise AI technologies to design and develop scalable, reliable and trusted AI agents for both the HR and Finance. You will lead a team of engineers to quickly iterate on strategic agentic solutions for HR and Finance.
Key Responsibilities:
Lead a high performing team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.
Understanding of AI Lifecycle: Extensive knowledge of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation
Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
Work with product, engineering, and data science teams to innovate and implement AI-based automation solutions that enhance HR and financial operations.
Collaborate with external AI vendors, cloud providers, and open-source communities to bring the best-in-class technologies into our AI stack.
Establish monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.
Committed to revolutionizing the industry with AI technologies in HCM systems.
Building responsible AI into our Agent Factory pipeline supporting various systems.
About You
Basic Qualifications
8+ years of experience with product engineering leading the development and delivery of highly available cloud products
5+ years proven experience in AI, machine learning, or intelligent automation, with a focus on enterprise applications.
2+ years experience with LLMs, AI agents, and orchestration frameworks (e.g. LangGraph)
5+ years experience with Python, cloud AI services (AWS, Azure, GCP), and AI model deployment.
Other Qualifications
Bachelor's degree or equivalent experience in a relevant field, such as Computer Science, Mathematics, or Engineering.
Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
Hands-on experience with vector databases, retrieval-augmented generation (RAG), and fine-tuning LLMs.
Proven track record to tackle sophisticated business challenges by translating them into innovative, AI-powered solutions that drive measurable results
Experience with data privacy, security, and compliance for AI in enterprise environments
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.
Experience with fine-tuning AI models including identifying and curating datasets as well as experimenting with models for iterative improvement
Posting End Date: 07/2/2025
If hired in Colorado, click here for information about Workday's comprehensive benefits in Colorado: https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates.
The application deadline for this role is the same as the posting end date stated.
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: USA.CA.Pleasanton
The application deadline for this role is the same as the posting end date stated as below:
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.
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!