Sr Principal/principal Machine Learning Engineer - Jr - 0098171

Workday Job Opportunity

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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Join the AI Agent Engineering team, where we're pioneering cutting-edge HR & Finance AI Agents that deeply integrate within the Workday suite. Be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday.

About the Role

We are seeking an experienced Senior Principal/Principal Machine Learning Engineer who will serve as a technical architect 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. As agents by design will span multiple parts of the business they will excel at building trusted relationships with other leaders and have experience in leading without authority and collaborating across organizational boundaries.

Key Responsibilities

• Architect 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
• Define best practices for agent design, security, and governance in AI-driven enterprise applications
• Work with product, engineering, and data science teams to design and implement AI-based automation solutions that enhance HR and financial operations
• Develop strategies for multi-agent collaboration, ensuring AI agents can work together and interact effectively with users and across the business