Lead design and development of sophisticated AI agents that reason, learn, and interact across complex business processes to enhance productivity and decision-making
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, design & development, 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 junior engineers
Conduct critical code reviews and unblock the team on deep technical hurdles

4+ years experience working on a data science, machine learning or related software development team
4+ years experience with Python supporting ML/AI libraries, with experience in shipping secure, production solutions
4+ years of experience in object oriented programming with Java
5+ years experience in SaaS software development
Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering
A PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering is highly desired
Extensive experience with large language models (LLM), retrieval augmented generation (RAG) systems, semantic search and text embedding models, MCP, langgraph, vibe coding, transformer neural networks, and related frameworks
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
Shown perseverance in overcoming significant problems
Strong focus on delivering high-quality software products, continuous innovation, and value in test automation and performance engineering

Principal Software Engineer – Gen AI

Key skills