Key skills

Artificial IntelligenceMachine LearningDeep Learning Frameworks - PyTorchDeep Learning Frameworks - JAXDeep Learning Frameworks - TensorFlowLarge Language Models (LLMs)Vision Language Models (VLMs)Reinforcement LearningReinforcement Learning from Human Feedback (RLHF)Direct Preference Optimization (DPO)Agentic Reasoning FrameworksMulti-agent SystemsResearch Publication in AI ConferencesEthics & TrustAIAgenticWorkdayCollaboration

About this role

Workday is a Fortune 500 company and a leading AI platform focused on managing people, money, and agents. The Principal AI Researcher will lead the AI Research Team, defining research roadmaps and advancing the state of the art in agentic AI and LLMs, while fostering a culture of scientific rigor and collaboration.

Responsibilities:

Define research direction in Agentic AI and LLMs
Advance the state of the art in agentic systems, including retrieval, grounding, memory, context, personalization, etc
Foundational Model Research: Advance Workday’s proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain-specific alignment for HR and Finance workflows
Publish & Open Source: Lead Workday’s contribution to the global AI community through publications at top-tier venues (NeurIPS, ICLR, ICML, ACL, etc.) and strategic open-source releases
Research-to-Production Bridge: Partner with Agent Factory engineering pods to integrate SOTA research into production-ready services that scale to the world's largest organizations
Mentorship & Culture: Act as a force multiplier for the newly formed research team, fostering a culture of scientific rigor, curiosity, and high-velocity experimentation