Lead design and development of sophisticated AI agents that reason, learn, and interact across complex business processes
Embed secure, scalable, and reliable agentic capabilities into core Adaptive Planning features
Collaborate with extraordinary engineers and product managers to bring ideas to life
Lead the full AI development lifecycle—problem framing, data prep, model training, deployment, evaluation, and continuous improvement
Harness Workday Adaptive Planning’s vast enterprise datasets to tune and optimize your AI models for high-value outcomes
Provide technical guidance to other engineers

10+ years experience working on a data science, machine learning or related software development team
8+ years experience with Python supporting numeric libraries
8+ years of experience object oriented programming in Java
2+ years experience in machine learning or deep learning frameworks or AI agent frameworks
Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering
PhD or MS degree in a relevant field is highly desirable
Publications in machine learning research are highly desirable
Extensive experience with generative models, large language models (LLM), retrieval augmented generation (RAG) systems, transformer neural networks, and related frameworks
Experience with cloud computing platforms (AWS, GCP), containerization technologies (Docker) and data engineering pipelines (ETL)
Experience developing and deploying machine learning solutions using large-scale datasets

Principal Machine Learning Engineer, GenAI

Key skills