Workday
Enterprise · HR & finance software
Currently tracking 23 active AI roles, down 46% 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.
Enterprise · HR & finance software
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 |
|---|---|---|
| Sr Product Manager, AI Services- Agent Platform Senior Product Manager for Workday's AI Services team, focusing on building reusable, platform-grade AI capabilities and agentic strategy. The role involves owning the end-to-end product lifecycle for AI/ML services, operationalizing growth for an internal platform, and leveraging AI tools for productivity. Key responsibilities include defining roadmaps, designing APIs, building growth engines, and partnering with engineering. | Agent | 8 |
| Senior/Principal Machine Learning Engineer Workday is seeking a Senior/Principal Machine Learning Engineer to design and build core ML systems for AI agents. This role involves owning the full lifecycle of models, agent logic, and orchestration layers, including RAG pipelines, evaluation, and feedback loops, within a cross-functional team. The focus is on production-grade, scalable, and enterprise-ready AI agents embedded into Workday's platform. | Agent |
| 8 |
| Principal Machine Learning Engineer Workday is seeking a Principal Machine Learning Engineer to design and build core ML systems for AI agents. This role involves owning the full lifecycle of LLM-powered agents, including RAG pipelines, orchestration, evaluation, and deployment within Workday's platform. The position requires strong engineering judgment, collaboration with cross-functional teams, and experience with large-scale ML systems. | AgentServe | 8 |
| Senior Machine Learning Engineer Workday is seeking a Senior Machine Learning Engineer to join their AI Team in Canada. The role involves architecting, building, and deploying scalable ML models and AI systems, including predictive models, Generative AI, and LLM-powered agents, impacting Workday's core enterprise applications. The engineer will own the end-to-end ML lifecycle, collaborate with cross-functional teams, drive technical excellence, mentor junior engineers, and champion Responsible AI. Requires 7+ years of experience in applied ML/DL/NLP, Python proficiency, experience with ML frameworks (PyTorch, TensorFlow), production deployment, and cloud platforms (AWS/GCP). | AgentServe | 8 |
| Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform Workday is seeking a Machine Learning Engineer to build their Agent Platform, focusing on the infrastructure for hosting and scaling LLM-powered agent applications. The role involves developing systems for agent execution, orchestration, observability, evaluation, and reliability, working closely with applied AI, product, and infrastructure teams to define how agents are built and operated. | Agent | 8 |
| Sr Machine Learning Engineer Senior Machine Learning Engineer on the AI Core team, responsible for designing, building, and deploying novel agentic systems and core machine learning models for AI-driven applications at Workday. This role involves end-to-end MLOps, working with large-scale datasets, and applying ML and distributed systems principles in production. | AgentData | 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 Manager, Software Development Engineering - Agentic & Semantic System Workday is seeking a Sr. Manager, Software Development Engineering to lead the engineering efforts for a unified platform enabling internal and external agents to interact with the Workday Data Cloud. This role involves building and coaching a team, executing the product roadmap, and ensuring the delivery of mission-critical capabilities. The ideal candidate has extensive experience in leading software development teams and delivering Machine Learning systems, with a focus on agent frameworks and semantic layers. | Agent | 7 |
| Principal Product Manager - Activation & Deployment, Evisort AI Principal Product Manager for Evisort AI at Workday, focusing on the activation and deployment strategy of AI agents for Document Intelligence and Contract Lifecycle Management (CLM). The role involves defining pre-sales activation strategies, innovating demo and Proof of Concept (POC) approaches, acting as a feedback loop from customers to product development, defining the technical narrative around AI differentiation and limitations, and partnering with architecture teams. The goal is to ensure enterprise customers understand, trust, and adopt AI-powered contract management solutions, driving revenue and adoption. | Agent | 7 |
| Product Manager, Agent Platform Product Manager for Workday's Agent Platform, focusing on building the core capabilities for designing, configuring, orchestrating, governing, and adopting intelligent agents across Workday products. The role involves collaborating with customers and internal teams to define platform primitives and experiences for building, deploying, and managing trustworthy agents, with a strong emphasis on AI security and enterprise adoption. | Agent | 7 |
| Senior Software Development Engineer - AI Core Senior Software Development Engineer on the AI Core team, responsible for designing, building, and operating software systems for AI-powered agentic applications. Focuses on building agentic tooling for information retrieval using ML RAG platforms, with an emphasis on enterprise-scale systems for retrieval and recommendation use cases. | AgentData | 7 |
| Principal Software Engineer This Principal Software Engineer role focuses on building and scaling MLOps and CloudOps infrastructure for Workday's AI platform. The engineer will design and implement microservices, APIs, and cloud infrastructure using Python, Go, Terraform, and Kubernetes, with a focus on enabling the development, training, deployment, and lifecycle management of ML capabilities. The role also involves supporting Agentic AI systems and LLM-based applications, requiring experience with distributed systems, cloud computing, and infrastructure-as-code. | ServeAgent | 7 |
| Manager, Software Development Engineering - AI Platform Engineering Manager to lead a team building the Agent Platform, which is the core infrastructure for developing, deploying, orchestrating, and operating AI agents in production. The role involves leading engineers on backend services, distributed systems, and developer tooling, driving execution, shaping technical direction, and building a high-performing team. | Agent | 7 |
| Legal AI Product Specialist / Sr Legal AI Product Specialist - Evisort AI This role focuses on product specialization within Legal AI, specifically for contract management. It involves crafting and maintaining datasets for legal models, collaborating with Product Managers and Data Science teams, identifying automation use cases, and becoming a subject matter expert in contracts. The role requires experience with generative AI and LLMs, and analyzing large volumes of legal data. | Data | 7 |
| Senior / Principal Product Manager - Workday AI Product Manager role focused on the delivery of AI-powered agents, either customer-facing or building the underlying infrastructure and frameworks for Workday's application teams. The role involves experimentation, innovation, development, iteration, and scaling of these agents, requiring close collaboration with domain-specific Product Managers to maximize technological impact and drive business value. | Agent | 7 |