Sr. Software Engineer (Agentic Workflow)

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

Are you energized by seeing AI products come to life in real-world settings—especially when they directly impact how companies plan their workforce and finances?

At Workday, our Adaptive Planning organization is on a mission to reimagine the FP&A customer journey with an AI-first mindset. We serve thousands of the world’s largest enterprises, and now we're building agentic workflows that will transform how finance teams interact with planning systems—making them more intelligent, proactive, and efficient.

We’re looking for highly creative, results-driven, and deeply technical AI/ML Engineers to help us shape the future of financial planning. If you're passionate about building real production-grade AI that solves complex business problems and delivers measurable impact—this is your team.

About the Role

Are you driven to apply cutting-edge AI to real-world enterprise challenges? As an AI/ML Engineer on the Workday Adaptive Planning team, you’ll help redefine how financial planning is done at scale—by designing and building intelligent, agentic workflows that power the next generation of FP&A solutions.

You’ll be at the forefront of bringing "AI-first" thinking into production, developing intelligent systems that automate, adapt, and assist users throughout the financial planning journey. Your work will directly impact thousands of global enterprises and millions of end users.

What You’ll Do:

• Build Agentic Workflows: Design and develop sophisticated AI agents that reason, learn, and interact across complex business processes to enhance productivity and decision-making.

• Integrate AI Frameworks: Embed secure, scalable, and reliable agentic capabilities into core Adaptive Planning features—driving smart automation for FP&A users.

• Partner Cross-Functionally: Collaborate with world-class engineers and product managers to bring ideas to life—from concept to customer impact.

• ​Own Projects End-to-End: Lead the full AI development lifecycle—problem framing, data prep, model training, deployment, evaluation, and continuous improvement.

• Leverage Rich Planning Data: Harness Workday Adaptive Planning’s vast enterprise datasets to tune and optimize your AI models for high-value outcomes.

We’re looking for bold thinkers with strong technical chops and a product mindset. You’ll need to move fast, think big, and stay grounded in solving real customer problems through AI. If this sounds like your kind of challenge, we’d love to talk.

About You

Basic Qualifications

• Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering.

• 5+ years experience working on a data science, machine learning or related software development team.

• 5+ years experience with Python and supporting numeric libraries, with experience in shipping production code and models.

• 3+ years of experience object oriented programming in Java

• 2+ years experience in machine learning and deep learning frameworks & toolkits such as Pytorch and Sklearn

Other Qualifications

• PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering. Publications in machine learning research are highly desirable.

• Practical experience with generative models, large language models (LLM), retrieval augmented generation (RAG) systems, transformer neural networks.

• Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL)

• 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.

• An ability to balance speed with delivering high-quality, practical solutions. Proven perseverance in overcoming meaningful problems.

Workday Pay Transparency Statement

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.

Primary Location: USA.CO.Boulder

 

Primary Location Base Pay Range: $153,600 USD - $230,400 USD

 

Additional US Location(s) Base Pay Range: $145,900 USD - $259,200 USD

If performed in Colorado, the pay range for this job is $153,600 - $230,400 USD based on min and max pay range for that role if performed in CO.

The application deadline for this role is the same as the posting end date stated as below:
 

06/02/2025

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.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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