AI and Machine Learning
AI and ML at Workday
AI agents and ML that shape enterprises.
Advance agentic AI with autonomous, trusted systems rooted in clean data. Shape a future of work that is adaptive, ethical, and designed to move businesses forward.
“For the future of work: AI has this tremendous potential to really ‘think’ about our business processes.”
—Kathy Pham, VP of AI and Machine Learning
Why Workday
Leading the future—responsibly.
Built on more than a decade of expertise, we’re scaling agentic AI with secure, responsible solutions shaping the future of work.
Agile teams. Global scale. AI built for tomorrow.
Our AI and ML teams create agentic solutions from recruiting to contract intelligence, empowering 70M+ users to work faster, smarter, and with improved business outcomes.
Rewire how work gets done.
From LLMs to enterprise-ready frameworks, you’ll design AI agents that process real-time data to improve business processes, contract reviews, and other complex challenges at scale.
If it isn’t broken, improve it.
We stay ahead by testing agentic AI use cases, leveraging open source tools, and applying the right languages to scale innovations securely from prototype to production.
We’re built on trust.
Built responsibly by design. Zero-copy data ensures safety, fairness, and security. We never share customer data to train public models and always put people first.
Your skills, applied at scale.
Embrace your opportunity to work with billions of records, millions of inferences, and thousands of models.
75M+
daily inference requests.
10B+
daily ingest records.
9K+
ML models in production.
Engineered on clean, contextual data.
Tired of spending cycles on data wrangling? Our unified data platform provides a clean, normalized, and version-controlled dataset. Our robust data pipelines ingest, transform, and validate data, ensuring referential integrity and schema consistency. Spend less time on ETL and more on building, training, and deploying models for high-stakes applications.
Workmate voices
Pioneering a new era for AI.
Hard-coding fairness into every algorithm.
Kelly makes operational ethics a priority—ensuring fact sheets, risk frameworks, and transparency is baked into every algorithm we ship.
Defining the next chapter of recruiting.
Dima owns every stage of product implementation, from prototype to model deployment, defining what smart recruiting can be.
Recruiting for an agentic future.
With AI tooling, RAG mindset, and governance by design, Gerhard is leading engineers and shaping the next wave of agentic AI.
Building a career at Workday.
Prakhar shares about life at Workday, from teamwork to recognition, from juggling challenges to celebrating wins.
Pioneer the next wave of intelligence.
Machine Learning Engineer
Design, deploy, and improve ML models—LLMs, recommendations, knowledge graphs—to turn our data into smarter experiences.
