Principal AI Researcher
Core
Define research direction and advance state-of-the-art in agentic AI, LLMs, and autonomous agents for global enterprise applications.
Role type
Principal AI Researcher (Scientist-Leader)
Builds
Fundamental intelligence layer for Workday's Agentic Enterprise platform
Domain
Enterprise AI, Agentic Systems, LLMs, Reasoning & Planning
Deliverable
production ML models
Required skills
Agentic reasoning frameworks, LLM/VLM training and alignment (RLHF/DPO), deep learning frameworks (PyTorch/JAX/TensorFlow), foundational model research (pre/post-training), research-to-production integration, technical leadership in ambiguity
Preferred skills
Reinforcement learning, tool-use, multi-agent systems, systems thinking under latency/cost constraints, building research agendas from ground up
Technologies
PyTorch, JAX, TensorFlow
Responsibilities
Define research roadmaps for agentic reasoning and long-horizon planning; Advance SOTA in retrieval, grounding, memory, and context; Lead publications at top-tier venues (NeurIPS, ICLR, ICML); Partner with engineering to integrate research into production services; Mentor new research team members
Seniority
Principal, technical founder & visionary