Workday
Enterprise · HR & finance software
Enterprise · HR & finance software
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.
Currently tracking 23 active AI roles, down 46% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$342k (avg $219k).
Workday currently has 33 active AI-related roles in our index. The most common open titles are: Director of Machine Learning Engineering - Agent Factory, LLM Engineer, Machine Learning Engineer - Evisort, Manager, Software Development Engineering, Manager, Software Development Engineering - AI Platform. Most positions are in Engineering and Product.
Workday's active AI hiring is concentrated in: agents (67%), application (24%), 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 (13 roles), Canada (13 roles), Israel (5 roles), Ireland (2 roles).
Job postings at Workday most frequently reference: agent orchestration, llm observability, rag, model serving, tool use.
In the past 30 days, Workday has posted 24 new AI-related roles. That is a -41% change versus the prior 30 days (41 → 24).
| Title | Stage | AI score |
|---|---|---|
| LLM Engineer Workday is seeking an LLM Engineer to develop and implement cutting-edge LLM technologies for innovative hiring agents. The role involves researching and experimenting with LLM solutions, implementing them into end-user applications, designing evaluation frameworks, and understanding product challenges to make software-building decisions. The position requires hands-on experience in Data Science/ML, developing LLM-based products and agents, Python, LLM evaluations, and modern AI tools and practices like RAG. | Agent | 8 |
| Senior Backend Engineer - AI Team - Paradox Senior Backend Engineer to architect and build production systems for LLMs at scale, focusing on high-performance services, reliability, and observability. The role involves bridging AI research and production, designing LLM evaluation frameworks, and understanding product challenges. | AgentEval Gate |
| 7 |
| Senior Backend Platform Engineer Senior Backend Platform Engineer responsible for building and maintaining core backend systems, APIs, and libraries to enhance platform functionality, architecture, and scalability. The role focuses on improving developer experience by standardizing tooling, managing configuration, and optimizing cloud infrastructure. A key aspect is integrating, governing, and scaling AI capabilities and automated workflows into developer pipelines to increase engineering velocity, including leveraging AI coding assistants. | Serve | 5 |
| Technical Project Manager - Hiredscore Workday is seeking a Technical Project Manager for their HiredScore team, which is an AI platform for talent orchestration. The role involves leading client onboarding and project implementation, acting as a solution consultant, and bridging between development, product, and client teams to ensure successful product value extraction and timely delivery. The Technical Project Manager will manage project plans, track progress, resolve issues, and ensure client satisfaction. | Ship | 5 |
| Manager, Software Development Engineering Manager for a software development engineering team focused on AI solutions for recruiting and talent management. The team translates AI/ML insights into scalable features for recruiter workflows, including candidate scoring and automated sourcing. The role involves managing engineers, overseeing the full development lifecycle from API implementation to deployment of user-facing applications and integration layers (web UIs, RPA/workflows, MS Teams bots). | Agent | 5 |