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 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$342k (avg $219k).
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 Cybersecurity Engineer This role is for a Sr. Cybersecurity Engineer at Workday, a company that uses AI in its platform. The engineer will be part of the cybersecurity response program, focusing on incident response, digital forensics, threat hunting, security automation, and data loss prevention. They will integrate AI into operational workflows, monitor and respond to security alerts, lead investigations, conduct threat hunting, design and implement improvements to IR tooling (including SOAR workflows and custom scripts), and contribute to the architecture and tuning of security tools. The role requires strong experience in security engineering and response, scripting languages (Python, Ruby), cloud/hybrid environments, and understanding of attacker techniques. While AI is mentioned as a tool to enhance processes, the core function of the role is cybersecurity engineering and response, not building AI models. | — | 5 |
| SRE / DevOps Engineer (GoLang) Workday is seeking a Site Reliability Engineer (SRE) / DevOps Engineer with GoLang experience to join their Cloud Platform SRE team in Auckland, New Zealand. This role focuses on ensuring the reliability, availability, and observability of the cloud platform that hosts Workday's engineering and customer environments. The team utilizes a cloud-native tech stack including Kubernetes, Istio, OPA, GoLang, Prometheus, and Grafana, and operates with scrum practices and a follow-the-sun on-call model. Responsibilities include identifying and resolving reliability issues, designing automation solutions, developing SLIs/SLOs, partnering with service teams on SRE standards, and contributing to incident response and root cause analysis. The ideal candidate has 1-8 years of experience in SRE/DevOps, hands-on experience with distributed systems in public cloud environments (AWS, GCP, Azure), and proficiency in GoLang, Python, or Ruby, with a preference for Go. |
| — |
| 0 |
| Manager Site Reliability Engineer Workday is seeking an Engineering Manager for their Database Reliability Engineering team. The role focuses on leading a team to ensure the performance, scale, and high availability of Workday's data infrastructure, treating infrastructure as software and leveraging open-source and cloud-native solutions. The manager will architect the future of data infrastructure, moving beyond traditional DBA roles to automated, self-healing platforms, and will mentor senior engineers. | — | 0 |
| Sr Distributed Systems Engineer (DevOps) This role is for a Senior Distributed Systems Engineer (DevOps) at Workday, an AI platform company. The engineer will focus on designing and automating cloud infrastructure (AWS, GCP), managing CI/CD pipelines, and ensuring high availability and performance of distributed systems. The role involves collaborating with engineering teams, securing infrastructure, and building monitoring systems. While the company develops AI technology, this specific role is in DevOps/Infrastructure, not directly building AI models or agents. | — | 0 |