Workday

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.

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 Team

Join the Agentic AI Engineering team, where we’re building internal agentic AI capabilities that integrate deeply into the software development lifecycle. Be part of an innovative, agile team architecting intelligent agents designed to transform the Workday developer experience.

Our diverse and globally distributed engineering organization is composed of independent, autonomous problem solvers who are passionate about using cutting-edge AI technologies to drive innovation and efficiency—leading to a brighter Workday for all. We value teamwork, effective communication, and accountability.

About the Role

We are seeking an experienced AI Agent Principal Engineer to help build transformative agentic AI systems. This role is critical to implementing tooling strategies, staying ahead of industry trends, and ensuring our AI-driven solutions integrate seamlessly within the Workday ecosystem. 

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 internal use. 

Key Responsibilities:

• 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)
• 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.
• Proficiency in Python, cloud AI services (AWS, Azure, GCP), and AI model deployment.
• Strong problem-solving skills and the ability to translate business needs into AI-powered solutions.
• Experience in data privacy, security, and compliance for AI in enterprise environments

Other Qualifications:

• Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering.
• 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 models including identifying and curating datasets as well as experimenting with models for iterative improvement 
• Strong problem-solving skills with the ability to translate business requirements into AI-powered solutions
• Excellent communication skills with the ability to clearly articulate complex technical ideas
• Highly motivated, with a strong sense of ownership and urgency
• Resilient and resourceful—able to navigate obstacles and solve problems independently

Our Approach to Flexible Work With Flex Work, we combine the benefits of both in-person and remote work. This approach allows our teams to deepen connections, maintain a strong community, and perform at their best. Recognizing that flexibility can vary greatly, we do not specify a required number of in-office days each week. Instead, we aim to spend at least half (50%) of our time each quarter either in the office or engaged directly with customers, prospects, and partners, depending on the role. This provides you with the freedom to design a schedule that meets business, team, and personal needs while ensuring meaningful in-person interactions. Team members in remote roles also have opportunities to gather in our offices for important moments.

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.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!