Currently tracking 23 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$342k (avg $219k).
Workday has 43 active AI-related job listings, with a significant focus on roles related to agents, which comprise 67% of their openings. Engineering is the primary function for these hires, with the United States and Canada being the top hiring countries. The company is actively seeking talent in areas such as agent orchestration, model serving, and RAG. In the last 30 days, Workday has seen a substantial increase in AI hiring, with 44 new roles posted, representing a 144% rise compared to the previous 30-day period.
Workday currently has 54 active AI-related roles in our index. The most common open titles are: Senior Software Development Engineer (2), Software Development Engineer (2), Software Development Engineer (Full Stack) (2), Enterprise Solutions Architect, Engineering Platform Services, LLM Engineer. Most positions are in Engineering and Product.
Workday's active AI hiring is concentrated in: agents (78%), application (15%), serving infrastructure (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Workday is hiring AI talent in: United States (25 roles), Canada (18 roles), Israel (5 roles), Ireland (5 roles).
Job postings at Workday most frequently reference: agent orchestration, llm observability, model serving, rag, tool use.
In the past 30 days, Workday has posted 38 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr Machine Learning / AI Engineer / MLOps Engineer This role focuses on operating, hardening, and improving the production infrastructure for an AI platform managing people, money, and agents. The MLOps Engineer will work closely with ML engineers and platform teams to ensure autonomous agents run reliably, manage deployments, monitoring, and on-call workflows for LLM-driven applications, and build tooling for agent trajectory and evaluation data. Experience with regulated enterprise environments is a hard requirement. | AgentServe | 8 |
| Senior AI Engineer - Sana Senior AI Engineer role focused on building the core agent infrastructure for Workday's Sana AI lab. The role involves architecting multi-step planning, orchestration, and tool routing for agents, implementing code generation and execution, engineering memory and context strategies, and balancing performance with cost. The position requires experience with LLM-powered applications, agent platforms, and production ML systems. |
| Agent |
| 8 |
| Senior Infrastructure Engineer - Sana Workday is seeking a Senior Infrastructure Engineer for their Sana AI lab, which builds AI for work. The role focuses on building and maintaining the technical foundation for AI products, including cloud infrastructure, deployment systems, and developer tooling, with an emphasis on reliability and performance. The engineer will support feature development teams and act as a Site Reliability Engineer (SRE). | — | 5 |