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 |
|---|---|---|
| Machine Learning Engineer - Document Intelligence Machine Learning Engineer focused on building and optimizing Workday's Document Intelligence Platform. This involves designing and implementing LLM-based technologies for document parsing, entity extraction, and classification, as well as traditional ML techniques. The role includes building scalable ML pipelines for data preprocessing, training, and inference, and working with RAG architectures and agentic frameworks for document intelligence applications. | AgentPost-train | 8 |
| 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. | AgentServe | 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. Software Development Engineer - Agentic & Semantic System Senior Software Development Engineer focused on building an agentic and semantic system for Workday's Data Cloud. The role involves creating a unified platform for agents to interact with federated data sources, requiring expertise in ML/Agent systems, semantic layers, and MCP server frameworks. | Agent | 7 |
| Sr Manager, Software Development Engineering - Evisort AI Sr. Manager, Software Development Engineering for Evisort AI at Workday, focusing on leading a team to develop and scale AI-powered contract management solutions. The role involves collaborating with cross-functional teams, mentoring engineers, and ensuring the performance and maintenance of key platform areas, with a strong emphasis on LLMs, AI agents, RAG, and enterprise AI architectures. | Agent | 7 |
| 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 |
| Senior Product Manager Workday is seeking a Senior Product Manager to define the vision and roadmap for their Analytics Platform, focusing on Data Cloud and Prism capabilities. This role involves partnering with engineering, design, and data science teams to deliver intuitive, no-code ETL experiences and drive end-to-end analytical capabilities for enterprise customers. The position requires a strong understanding of data management, data platforms, and SaaS environments, with the ability to translate customer needs into product features and act as a Product Owner for scrum teams. | — | 5 |
| Software Development Engineer (Full Stack) Full Stack Engineer role on the AI Agent Engineering team, focusing on building and integrating AI agents for HR & Finance within the Workday suite. Responsibilities include developing AI-powered agents, contributing to platform growth, and owning development to production. | Agent | 5 |
| Senior Software Development Engineer (Full Stack) Senior Full Stack Software Engineer to build user-facing and platform experiences for AI agents embedded in HR and Financial workflows. This role focuses on turning AI technology into usable products, owning features end-to-end from development to production, and collaborating with ML engineers and product managers. | Agent | 5 |
| Software Development Engineer (Full Stack) Full Stack Software Engineer to build user-facing and platform experiences for AI agents embedded in HR and Financial workflows. The role involves designing and shipping full stack solutions, integrating AI-driven capabilities into existing workflows, and owning services from development through production. This is a production-grade AI role focused on building scalable and reliable systems for enterprise customers. | Ship | 5 |
| Senior Software Development Engineer (Full Stack) - Agent Factory Senior Full Stack Engineer for the AI Agent Engineering team, focusing on building and integrating AI agents for HR & Finance within the Workday suite. This role involves full-stack development, ownership of platform areas, and ensuring AI solutions scale and simplify business processes. | Agent | 5 |
| Senior Software Development Engineer Workday is seeking a Senior Software Development Engineer to join their Agent Factory team. This role will focus on building user-facing and platform experiences for AI agents embedded in HR and Financial workflows. The engineer will own full-stack solutions from development through production, collaborating with ML engineers and product managers to turn AI technology into usable products at scale. The role emphasizes building production-grade AI systems and operating them responsibly within Workday's platform. | ShipAgent | 5 |
| Senior Inbound Product Manager, Grants Management Senior Inbound Product Manager for Workday Grants Management, focusing on understanding customer needs, defining product vision, and guiding cross-functional teams to deliver AI-enhanced solutions for research organizations. Responsibilities include product discovery, backlog prioritization, and defining success metrics for AI-driven features like document ingestion and predictive analytics. | Ship | 5 |
| Sr Product Manager - VNDLY Product Manager for Workday VNDLY, a vendor management system for extended workforce management. The role involves collaborating with stakeholders, influencing product vision, driving execution, and supporting feature launches. Requires SaaS product management experience and familiarity with AI concepts, with preferred experience in VMS or contingent workforce management. | — | 5 |
| Software Development Engineer - AI Core (Python) Software Development Engineer on the AI Core team responsible for designing, building, and operating software systems that host, run, and scale AI-powered applications. This includes writing production-grade backend services, designing APIs, building data ingestion pipelines, applying distributed systems principles, and ensuring enterprise requirements for security, privacy, robustness, and compliance are met. | Serve | 5 |
| Senior Software Engineer - Evisort AI (Python/Typescript) Senior Software Engineer role focused on enhancing and expanding an AI-driven contract management platform. The role involves backend development using Python/Typescript, API design, and contributing to scalable, user-centric solutions. Familiarity with LLMs and Agent development is required, along with experience in SaaS product ownership, cloud environments, and observability. | Agent | 5 |
| Sr Software Development Engineer (Full Stack) - Evisort AI This role is for a Senior Software Development Engineer (Full Stack) on the Evisort AI team at Workday, focusing on enhancing and expanding an AI-driven contract management platform. The engineer will collaborate with cross-functional teams to deliver scalable, user-centric solutions that transform contract management for legal and business teams. The role involves building and operating SaaS products, contributing to AI capabilities, and taking ownership of functional areas from development to production. | — | 5 |
| Software Development Engineer (Full Stack) - Evisort AI Full Stack Software Engineer role focused on enhancing and expanding an AI-driven contract management platform. The role involves collaborating with cross-functional teams to deliver scalable, user-centric solutions that transform contract management for legal and business teams. The engineer will own multiple functional areas from development to production. | Agent | 5 |
| Senior Software Engineer - AI Core (Python) Senior Software Engineer role focused on building and operating backend services for AI-powered applications and agentic systems within an enterprise AI platform. Responsibilities include developing production-grade services, designing APIs, building data pipelines, applying distributed systems principles, and ensuring security and compliance. Requires strong Python expertise, experience with cloud platforms, and understanding of distributed systems. | ServeAgent | 5 |
| Sr Software Development Engineer Senior Software Engineer to join an AI organization focused on building and supporting AI capabilities for Workday's product suite. The role involves enhancing and expanding an AI-driven contract management platform, working with cross-functional teams to deliver scalable, user-centric solutions. | Ship | 5 |
| Software Development Engineer (Full Stack) Workday is seeking a Full Stack Software Engineer to join their Agent Factory team. This role involves building user-facing and platform experiences for AI agents integrated into HR and Finance workflows. The engineer will own full-stack solutions, from front-end to backend services, collaborating with ML engineers and product managers to deliver scalable and reliable AI-driven products. The position emphasizes end-to-end ownership and production deployment within a cross-functional team. | Agent | 5 |
| Principal Software Engineer - Evisort AI Principal Software Engineer role at Workday focusing on their AI-driven contract management platform. The role involves collaborating with cross-functional teams to build and enhance scalable, user-centric solutions, and taking ownership from development to production. Requires extensive software engineering experience, web framework expertise, PostgreSQL, and cloud/SaaS experience. | — | 5 |
| Sr Software Developer in Test (SDET) - Evisort This role is for a Senior Software Developer in Test (SDET) at Workday, focusing on their AI platform for contract management. The primary responsibility is to drive the quality assurance process by implementing comprehensive automated functional, regression, and performance testing for an enterprise-grade SaaS platform. The role involves enhancing platform scalability, partnering with developers and product managers, and designing/maintaining test automation frameworks. While the company uses AI and the role mentions AI-assisted testing tools, the core function is in test automation for a product that leverages AI, rather than building AI models directly. | — | 5 |
| Software Development Engineer (Full Stack) Full Stack Engineer role on the AI Agent Engineering team, focused on building and integrating AI agents for HR & Finance within the Workday suite. Responsibilities include development, production ownership, and collaboration to deliver scalable AI capabilities. | Agent | 5 |
| DataOps Engineer (DevOps for Data) Workday is seeking a DataOps Engineer to optimize their cloud-based data platform by implementing CI/CD automation. This role involves coordinating with IT and Analytics Engineering, implementing CI/CD for data workflows, and establishing integrations between platforms. The ideal candidate will have a strong understanding of DataOps/DevOps principles, experience managing data as a product, and a passion for automation and efficiency. This role is crucial for building and scaling the data platform to support data-driven decision-making. | — | 5 |
| Software Engineer III/Senior Software Engineer (Full Stack) Workday is seeking a Full Stack Software Engineer to join their Agent Factory team. This role will focus on building user-facing and platform experiences for AI agents integrated into HR and Finance workflows. The engineer will be responsible for designing and shipping full-stack solutions, owning services end-to-end, and collaborating with ML engineers and product managers to deliver production-grade AI products at scale. | Ship | 5 |
| Senior Software Engineer - Data Platform (Spark & Trino) This role focuses on building and enhancing a large-scale distributed data processing platform using Spark and Trino in a cloud environment. The responsibilities include designing fault-tolerant architectures, implementing self-healing mechanisms, and developing comprehensive telemetry for observability and scalability. The role is primarily engineering-focused on data infrastructure. | — | 0 |
| Solution Consultant - Financials - Canada This role is for a Solution Consultant specializing in Financials for Workday, a company that describes itself as a leading AI platform for managing people, money, and agents. The role involves demonstrating Workday's Financials Application to prospects and customers, providing expertise, and supporting the sales cycle. While the company mentions AI, the core responsibilities of this specific role are focused on pre-sales, product demonstration, and customer engagement within the financial domain, not on building or directly working with AI/ML models or systems. | — | 0 |
| Sr Services Executive - Dirigeant supérieur des services This role is for a Sr. Services Executive at Workday, a company that positions itself as an AI platform for managing people, money, and agents. The role focuses on business development for professional services, supporting subscription sales by differentiating Workday's services approach, engaging with customers on deployment strategies, and preparing estimates, proposals, and contracts. It involves working with account executives and services partners to drive sales and ensure successful customer deployments. | — | 0 |
| Principal Managing Partner This role is for a Principal Managing Partner at Workday, a company that positions itself as an AI platform for managing people, money, and agents. The role focuses on customer success, managing executive relationships, ensuring successful deployment of Workday solutions, and driving customer adoption and retention. While the company mentions being an AI platform, the core responsibilities of this specific role are centered around customer relationship management, project oversight, and strategic account planning, rather than direct AI/ML development or research. | — | 0 |
| Product Manager: Platform Enablement, Core Services Product Manager for Workday's Platform Enablement team, focusing on core infrastructure, developer tooling, and foundational services that support Workday's AI platform for managing people, money, and agents. The role involves defining roadmaps for infrastructure modernization, leading transitions from legacy systems to microservices, managing high-stakes workloads, defining SLOs, enhancing telemetry and automated testing, and advocating for machine-readable interfaces. The PM will leverage data to understand product usage and validate infrastructure investments. | — | 0 |
| Sr. Associate Software Development Engineer - Big Data Services Workday is seeking a Sr. Associate Software Development Engineer for their Big Data Services team. This role will focus on developing, implementing, and supporting a fault-tolerant, high-performance data analytics platform that serves Workday's analytics and machine-learning applications. Responsibilities include building scalable solutions for hybrid-cloud environments, modernizing infrastructure, and working on software development, logging, monitoring, and DevOps. The role requires experience in distributed systems, Java, and Python, with a focus on big data technologies. | — | 0 |
| Senior Full Stack Software Development Engineer Workday is seeking a Senior Full Stack Software Development Engineer to join their Journeys team. This role will focus on building and enhancing personalized employee journeys within Workday, with a significant emphasis on front-end development using React. The engineer will also contribute to backend services and APIs, ensuring a full-stack perspective. The position requires extensive experience in enterprise web application development, front-end technologies, API development, and testing methodologies. | — | 0 |
| Principal DataOps Engineer (DevOps for Data) Workday is seeking a Principal DataOps Engineer to optimize their cloud-based data platform by implementing CI/CD automation. This role involves leading a small team, coordinating with IT and Analytics Engineering, and establishing integrations for data workflows. The ideal candidate has a strong understanding of DataOps/DevOps principles, experience managing data as a product, and a passion for automation and efficiency. | — | 0 |