Principal Software Engineer

### Who you are
- We’re looking for bold thinkers with strong technical and a product mindset
- 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
- You have a strong focus on delivering high-quality software products, continuous innovation, and you value test automation and performance engineering

### What the job involves
- At Workday, our Adaptive Planning organization is on a mission to reimagine the FP&A customer journey with an AI-first attitude
- We serve thousands of the world’s largest enterprises, and now we're building agentic workflows that will transform how finance teams interact with planning systems—making them more intelligent, proactive, and efficient
- We’re looking for highly creative, results-driven, and deeply technical AI/ML Engineers to help us shape the future of financial planning
- If you're passionate about building real production-grade AI that solves complex business problems and delivers measurable impact—this is your team!
- 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
- Technically leadership: lead design and development of 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
- Partner Cross-Functionally: Collaborate with extraordinary engineers and product managers to bring ideas to life
- ​Own Projects End-to-End: Lead the full AI development lifecycle—problem framing, data prep, design & development, 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
- Mentorship: Provide technical guidance to junior engineers. Conduct critical code reviews and unblock the team on deep technical hurdles
- 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

### The application process
- End Date: April 20, 2026