Senior Software Engineer (Gen AI)

Workday•Boulder, CO

2d•$163,000 - $288,000•Hybrid

About The Position

Workday's Adaptive Planning organization is seeking highly creative, results-driven, and deeply technical AI/ML Engineers to join their mission of reimagining the FP&A customer journey with an AI-first attitude. The team is building agentic workflows to transform how finance teams interact with planning systems, making them more intelligent, proactive, and efficient. This role involves designing and building intelligent, agentic workflows that power the next generation of FP&A solutions, bringing "AI-first" thinking into production and developing enterprise-level intelligent systems that automate, adapt, and assist users throughout the financial planning journey. The work will directly impact thousands of global enterprises and millions of end users.

Requirements

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.
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.
A strong focus on delivering high-quality software products, continuous innovation, and valuing test automation and performance engineering.

Nice To Haves

A PhD or MS degree in a relevant field, such as Computer Science, Mathematics, or Engineering is highly desired.

Responsibilities

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 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 AI models for high-value outcomes.
Provide technical guidance to junior engineers.
Conduct critical code reviews and unblock the team on deep technical hurdles.