Sr. Software Engineer; Agentic Workflow

About The Role

As an AI/ML Engineer on the Workday Adaptive Planning team, you’ll help redesign financial planning at scale by designing and building intelligent, agentic workflows that power the next generation of FP&A solutions.

• 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 extraordinary 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.

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.

• 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 experience object‑oriented programming in Java.
• 2+ years experience in machine learning and deep learning frameworks & toolkits such as PyTorch and scikit‑learn.

• Bachelor’s degree in a relevant field such as Computer Science, Mathematics, or Engineering.
• PhD or MS degree in a relevant field. 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.
• Ability to balance speed with delivering high‑quality, practical solutions and shown perseverance in overcoming significant problems.

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. For more information regarding Workday’s comprehensive benefits, please .

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.

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

Workday will consider for employment qualified applicants with arrest and conviction records.