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

Join the Agentic AI Engineering team, where we’re building internal agentic AI capabilities that deeply integrate into the software development lifecycle. You’ll be part of a collaborative, agile team designing intelligent agents to transform the Workday developer experience.

Our team is globally distributed and made up of curious, autonomous engineers driven to explore how cutting-edge AI can improve how we build, test, and deliver software. We value teamwork, learning, communication, and accountability—and we’re excited to build the future of developer tools together.

About the Role

We are seeking a highly skilled and passionate AI Software 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 work on AI frameworks, contribute to agent workflow orchestration, and utilize large language models (LLMs), agent frameworks, and enterprise AI to design and develop scalable, reliable, and trustworthy AI agents for internal use.

Key Responsibilities:

• Contribute to the design and development of AI-powered agents that enhance developer efficiency and accelerating intelligent decision making.

• Help implement agent workflows, integrate with Workday services, and contribute to backend services supporting intelligent automation

• Collaborate with other developers, ML engineers, and partner teams to understand technical requirements and build solutions

• Learn and apply AI tools and frameworks, including LLMs and agent orchestration technologies (e.g., LangGraph)

• Stay up-to-date on the latest trends in generative AI, LLMs, and agent-based systems

• Support the development of scalable, maintainable systems and contribute to internal documentation and testing strategies

About You

 Basic Qualifications:

• 5+ years of full-time industry experience in software engineering, preferably with machine learning platform exposure

• Expert proficiency crafting solutions using Object Oriented (OO) languages like Java, C# or similar.

• Expert proficiency crafting solutions in Python 3.

• You have hands-on experience delivering products to market which combine traditional software engineering and AI capabilities.

Other Qualifications:

• Experience in AI, machine learning, or intelligent automation, with a focus on enterprise applications

• Understanding of LLMs, AI agents, and orchestration frameworks (e.g., LangGraph)

• Experience building production-quality software with public cloud technologies (AWS, GCP, Azure, etc.) and Infrastructure as Code (AWS CloudFormation, etc.)

• Strong problem-solving skills with the ability to translate business requirements into AI-powered solutions

• Excellent communication skills and the ability to articulate complex technical ideas clearly

• Proven experience in building and delivering high-performance processing systems

• Highly motivated to move quickly with a strong sense of ownership

• Strong interpersonal skills

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!