Manager, Machine Learning Engineering - Agent Factory

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

We are seeking a Manager to lead the development of AI agents for our HR and Finance business. You will be responsible for building and mentoring a high-performing engineering team, driving technical excellence and ensuring the delivery of robust, scalable and secure AI agent solutions that seamlessly integrate with our Workday ecosystem and deliver outstanding experiences for our customers.
 

Responsibilities:

• Build, lead, and mentor a team of exceptional engineers.
• Ensure timely project delivery to exceptional standards of our AI agents.
• Work closely with product managers, data scientists and other stakeholders to translate business requirements into technical solutions
• Collaborate with architects and principal engineers to ensure seamless integration with the Workday platform
• Foster a culture of innovation, collaboration and continuous improvement and learning.
• Evaluate and integrate cutting-edge AI technologies, including LLMs, RAG, and orchestration frameworks (e.g., LangGraph)
• Collaborate with external vendors and open-source communities to leverage best-in-class AI technologies
• Ensure all AI solutions adhere to data privacy, security, and compliance standards
• Implement robust testing, monitoring and feedback loops to ensure agent performance and reliability
• Ensure the scalability, reliability, and security of AI agent solutions within the Workday environment.

• 7+ years of engineering experience
• 3+ years of engineering leadership delivering products at scale, with a strong focus on AI/ML and cloud-based systems

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven ability to seek out and hire the highest performing professionals to build cutting edge products built on AI
• Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks.
• Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
• Strong problem-solving, communication, and collaboration skills.
• Experience with the Workday platform is a strong plus.

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.

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