AI Agent Software Engineer

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 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 a highly skilled AI Agent Software Engineer to contribute to a cross-functional team building transformative AI agents for HR & Finance. This role is crucial in implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate effectively within the Workday stack. You will be responsible for implementing AI frameworks, contributing to agent workflow orchestration, utilizing LLMs, agent frameworks, and enterprise AI to design and develop scalable, reliable and trusted AI agents for both HR and Finance. 

Key Responsibilities:

• Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.

• Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams

• Apply understanding of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation.

• Implement 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.

• Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.

About You

Basic Qualifications

• B.A./B.S. in Computer Science

• 3+ years of software engineering experience developing and delivering highly scalable and available cloud products

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

• 5 or more years of experience using Python, Golang, Scala

Other Qualifications

• 2+ years of 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 and the ability to translate business needs into AI-powered solutions.

• Superb communication skills. Ability to articulate sophisticated technical ideas

• Proven experience building and delivering high-performance processing

• Highly motivated to move at speed with a strong sense of ownership

• Strong communication and interpersonal skills

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!