Software Development Engineer

About the Role Are you driven to apply innovative AI to real-world enterprise challenges? As an AI/ML Engineer on the Workday Adaptive Planning team, you’ll help redefine how financial planning is done at scale—by designing and building intelligent, agentic workflows that power the next generation of FP&A solutions. You’ll be at the forefront of bringing "AI-first" thinking into production, developing enterprise level intelligent systems that automate, adapt, and assist users throughout the financial planning journey.

Your work will directly impact thousands of global enterprises and millions of end users. What You’ll Do: 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. ​own projects through the development lifecycle—problem framing, data prep, design & development, deployment, evaluation, and continuous improvement. provide technical guidance to junior engineers. Conduct critical code reviews and unblock the team on deep technical hurdles.

We’re looking for bold thinkers with strong technical and a product mindset. You’ll need to move fast, think big, and stay grounded in solving real customer problems through AI. If this sounds like your kind of challenge, we’d love to talk.

About You Basic Qualifications 2+ years experience working on a data science, machine learning or related software development team. 2+ years experience with Python supporting ML/AI libraries, with experience in shipping secure, production solutions. 3+ years of experience in object oriented programming with Java. 3+ years experience in SaaS software development. Other Qualifications 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, vibe coding, MCP, langgraph, 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) You have a strong focus on delivering high-quality software products, and you value test automation and performance engineering 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.