Principal AI Engineer
Core
Design and build core ML systems and LLM-powered autonomous agents for Workday's platform, integrating them into human workflows at global scale.
Role type
Principal AI Engineer (Agentic Systems)
Builds
Production-grade AI agents, RAG pipelines, and orchestration layers embedded in the Workday stack.
Domain
Enterprise HR/Finance SaaS, Large Language Models, Agentic AI
Deliverable
production ML models
Required skills
LLMs and text generation, RAG pipelines, workflow orchestration, graph neural networks, cloud computing (AWS/GCP), ML model hosting at scale, deep learning frameworks (PyTorch/TensorFlow), statistical analysis, unsupervised/supervised learning, NLP for retrieval/recommendation
Preferred skills
Agentic architectures, autonomous agents, evaluation and feedback loops for agents, mentoring ML engineering teams
Technologies
PyTorch, TensorFlow, AWS, GCP
Responsibilities
Design and build core ML systems for AI agents; implement and evolve frameworks for LLM-powered agents; partner with software engineers and product managers to integrate agents into the Workday stack; lead and mentor ML Engineering teams; own the full lifecycle from problem framing to deployment and monitoring.
Seniority
Principal, hands-on IC with leadership responsibilities
