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 |
|---|---|---|
| Principal AI Engineer - Evisort Principal AI Engineer to develop and deploy AI-first products for Document Intelligence, CLM, and Contract Intelligence, leveraging LLMs, Knowledge Graphs, and predictive analysis. The role involves building ML solutions at scale across Workday's product ecosystem, with a focus on user experience, quality, and continuous improvement. Requires extensive experience in applied ML product development, production deployment, and LLM/GNN model usage. | ShipAgent | 8 |
| Machine Learning Engineer - Evisort Machine Learning Engineer role focused on developing and deploying AI-first products for Document Intelligence and Contract Intelligence, leveraging LLMs, Knowledge Graphs, and predictive analysis. The role involves building ML solutions at scale within Workday's product ecosystem, with a focus on continuous improvement, product intuition, and customer experience. |
| ShipAgent |
| 8 |
| Sr Product Manager - Enterprise Solutions Product Manager for Enterprise AI solutions, focusing on Workday's internal 'Customer Zero' strategy. The role involves identifying internal business problems, architecting and delivering AI/ML-driven product solutions using Workday's technology stack, and providing feedback to core product teams. The goal is to transform internal operations into an AI-driven ecosystem and ensure products are battle-tested before external release. | ShipAgent | 7 |