AI Agent Principal Engineer
Apply remote type Flex locations Ireland, Dublin time type Full Time posted on Posted 2 Days Ago job requisition id JR-0095273
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.
About the Team
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 AI Agent Principal 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. You will be responsible for ensuring these solutions are scalable, reliable and secure.
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).
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.
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.
About Workday
At Workday, our employees have always been our number one Core Value. We understand that everyone has unique experiences and perspectives which is why our mission is to create a safe space where all people and ideas are welcomed. Our commitment to value inclusion, belonging, and equity (VIBE) and creating a brighter workday for all is the cornerstone of all we do. Join us!
Workday is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.
Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.
Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.
We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.
Workday is committed to providing reasonable accommodations for qualified individuals with disabilities, disabled veterans, and others during our application process. If you need assistance or an accommodation due to a disability or for religious reasons, contact us at accommodations@workday.com.
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