Workday is looking to solve complex business problems in financial planning by applying innovative AI to real-world enterprise challenges, specifically in the area of Adaptive Planning.
Requirements
- 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
- 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)
Responsibilities
- 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.
Other
- Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering.
- PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering.
- Ability to balance speed with delivering high-quality, practical solutions.
- Shown perseverance in overcoming significant problems.
- Spend at least half (50%) of time each quarter in the office or in the field with customers, prospects, and partners (depending on role)
