Principal Machine Learning Engineer

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

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun.

Would 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 we're pioneering cutting-edge HR & Finance AI Agents that deeply integrate within the Workday suite.

About the Role

We are seeking an experienced Principal Machine Learning Engineer who will serve as a lead engineer for a cross-functional team building transformative AI agents for HR & Finance. This role is critical in defining the tooling strategy, staying ahead of industry trends, and ensuring our AI-driven solutions seamlessly integrate deeply within the Workday stack. You will be responsible for evaluating and selecting AI frameworks, orchestrating agent workflows, and leveraging 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: Comprehensive 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 design 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.

About You

Basic Qualifications

• 8+ years of experience with product engineering leading the development and delivery of highly available cloud products
• 5+ years of experience in AI, machine learning, or intelligent automation, with a focus on enterprise applications.
• Deep understanding of LLMs, AI agents, and orchestration frameworks (e.g. LangGraph)
• Proficiency in Python, cloud AI services (AWS, Azure, GCP), and AI model deployment.

Other Qualifications

• Bachelor's degree in a relevant field,