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 III / Senior Machine Learning Engineer - AI Platform Workday is seeking Machine Learning Engineers to build the next generation of AI-first products, focusing on Agentic AI, Information Retrieval, and Evaluation. The role involves architecting reasoning and planning agents, optimizing LLM configurations, advancing semantic search and Text-to-SQL capabilities, and engineering cloud-based pipelines for evaluation and monitoring. This position bridges research and production, deploying cutting-edge agents into the Workday ecosystem to deliver transformative value to millions of users. | AgentEval Gate | 9 |
| 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 |
| Sr Principal AI Engineer Seeking a Senior Principal AI Engineer to serve as a technical architect for an AI Agent Engineering team focused on building HR & Finance AI agents. This role involves defining tooling strategy, evaluating AI frameworks, orchestrating agent workflows, and leveraging LLMs and enterprise AI technologies to design and develop scalable, reliable, and trusted AI agents. Responsibilities include architecting AI-powered agents, understanding the AI lifecycle, integrating AI tools, defining best practices for agent design, security, and governance, and developing strategies for multi-agent collaboration. | Agent | 8 |
| Sr Machine Learning / AI Engineer / MLOps Engineer This role focuses on operating, hardening, and improving the production infrastructure for an AI platform managing people, money, and agents. The MLOps Engineer will work closely with ML engineers and platform teams to ensure autonomous agents run reliably, manage deployments, monitoring, and on-call workflows for LLM-driven applications, and build tooling for agent trajectory and evaluation data. Experience with regulated enterprise environments is a hard requirement. | AgentServe | 8 |
| Senior Cybersecurity Data Engineer - AI/ML SME Senior Data Engineer specializing in AI/ML and platform integration for a Cybersecurity team. The role focuses on optimizing the data platform for ML/GenAI workloads, managing feature stores and vector databases, and building integration fabric with APIs and data connectors. Responsibilities include designing ML data infrastructure, enterprise feature store architecture, vector infrastructure for GenAI, platform integration, MLOps collaboration, and compute optimization. | ServeAgent | 8 |
| Senior Machine Learning Engineer/Machine Learning Engineer III Workday is seeking a Senior Machine Learning Engineer or Machine Learning Engineer III to join their Agent Factory team. This role involves designing and building core ML systems for AI agents, focusing on LLM-powered agents, RAG pipelines, and workflow orchestration. The position requires end-to-end ownership of the ML lifecycle, from problem framing to deployment and monitoring, with a strong emphasis on production-grade, scalable, and enterprise-ready solutions. The role bridges ML and platform engineering, requiring collaboration with software engineers and product managers. | AgentServe | 8 |
| 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 |
| Director of Machine Learning Engineering - Agent Factory Workday is seeking a Director of AI Agent Engineering to lead the development of AI agents for HR and Finance business functions. The role involves building and mentoring a team, driving technical excellence, and ensuring the delivery of scalable and secure AI agent solutions that integrate with the Workday platform. Key responsibilities include evaluating and integrating AI technologies like LLMs, RAG, and orchestration frameworks, and ensuring adherence to data privacy, security, and compliance standards. | Agent | 8 |
| Senior Software Engineer (Gen AI) Workday is seeking a Senior Software Engineer (Gen AI) to join their Adaptive Planning organization. The role focuses on designing and building agentic workflows that integrate AI into financial planning systems for large enterprises. Responsibilities include technical leadership in AI agent development, embedding agentic capabilities, collaborating cross-functionally, owning the AI development lifecycle, and leveraging enterprise data for model optimization. The position requires strong Python and Java skills, experience with LLMs, RAG, and cloud platforms. | Agent | 8 |
| Senior AI Engineer - Sana Senior AI Engineer role focused on building the core agent infrastructure for Workday's Sana AI lab. The role involves architecting multi-step planning, orchestration, and tool routing for agents, implementing code generation and execution, engineering memory and context strategies, and balancing performance with cost. The position requires experience with LLM-powered applications, agent platforms, and production ML systems. | 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 |
| Principal Machine Learning Engineer (Gen AI) Workday is seeking a Principal Machine Learning Engineer to join their Adaptive Planning organization. The role focuses on designing and building agentic workflows and AI-first intelligent systems for financial planning. Responsibilities include technical leadership, integrating AI frameworks, collaborating cross-functionally, owning the AI development lifecycle, leveraging enterprise data, and providing mentorship. The position requires extensive experience in Python, ML/DL frameworks, and generative models, with a focus on production-grade AI solutions for enterprise challenges. | Agent | 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 |
| Principal Machine Learning Engineer Principal Machine Learning Engineer to design and build core ML systems for Workday's next-generation AI agents. This role involves owning the full lifecycle of LLM-powered agents, including RAG pipelines, orchestration, evaluation, and feedback loops, ensuring scalability, observability, and enterprise readiness. It sits at the intersection of ML and platform engineering, requiring strong engineering judgment to build reliable and explainable systems at global scale. | AgentServe | 8 |
| Principal Agent Development Engineer - Agent Platform Workday is seeking a Principal Agent Development Engineer to join their Agent Platform team, focusing on engineering the intelligent data backbone and trust systems for AI agents. This role involves implementing guardrails, security features, and adversarial testing to ensure the safety and reliability of AI agents within the Workday ecosystem, impacting millions of global users. | Agent | 8 |
| Machine Learning Engineer III Machine Learning Engineer III at Workday to work on the Agent Evaluation Platform and Information Retrieval products. The role involves architecting agentic AI, driving meta-ML and optimization, advancing information retrieval with semantic search and text-to-SQL/Python, scaling evaluation and observability pipelines, and owning the ML lifecycle. Focus on applied research and production deployment of AI agents and search systems. | AgentEval Gate | 8 |
| Senior/Principal Machine Learning Engineer Workday is seeking a Senior/Principal Machine Learning Engineer to join their Agent Factory team. This role focuses on designing and building the core ML systems for next-generation AI agents, involving LLM-powered agents, RAG pipelines, and workflow orchestration. The position requires end-to-end ownership of production ML systems, from problem framing to deployment and monitoring, with a strong emphasis on scalability, observability, and enterprise readiness. The role involves close collaboration with software engineers and product managers to integrate agents into Workday's platform. | 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 |
| Principal Machine Learning Engineer - Evisort AI Workday is seeking a Principal Machine Learning Engineer to join the Evisort AI team, focusing on Document Intelligence and Contract Intelligence. The role involves developing tailored user experiences using LLMs and Knowledge Graphs, delivering ML solutions across Workday's product ecosystem, and deploying new AI products at scale. This position requires extensive experience in ML frameworks, production ML systems, LLMs, and cloud platforms, with a strong emphasis on product development and team leadership. | ShipAgent | 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 |
| 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 LLM-powered agents, including RAG pipelines, orchestration, deployment, monitoring, and continuous improvement, with a focus on production-grade, scalable, and enterprise-ready solutions embedded within Workday's platform. | AgentServe | 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 |
| 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 |
| Machine Learning Engineer III Machine Learning Engineer III at Workday to develop AI-driven solutions for managing people, money, and agents, focusing on intelligent agents embedded in Workday's platform. The role involves working with HR and Payroll data, applying AI Agent technologies, and productizing ML algorithms at scale. | Agent | 7 |
| Senior Software Development Engineer This role focuses on building core platform capabilities for AI-powered agentic developer experiences and workflows within the Workday ecosystem. The engineer will work on integrating LLMs, enabling developers to use AI agents for coding, automation, and workflow orchestration, and contributing to the overall AI-native platform. | Agent | 7 |
| Senior Manager, AI Platform Senior Manager of Software Development Engineering for Agent Runtime, leading a team that builds Workday's secure execution platform for enterprise AI agents. This platform is critical for policy-governed, least-privilege, and auditable AI execution at scale, involving cell lifecycle orchestration, sandbox boundaries, policy enforcement, observability, and audit trails. | AgentServe | 7 |
| 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 |
| Senior Technical Delivery Consultant - AI Practice This role is for a Senior Technical Delivery Consultant focused on the AI Practice within Workday's Professional Services. The consultant will be responsible for the technical realization and end-to-end AI solution design and delivery for Workday's customers, working with Native AI Agents, the Workday Agent Platform, external LLMs, and Sana. Key responsibilities include solution architecture, strategic advisory to C-suite stakeholders, technical leadership for AI workstreams, and partnering with Product and Engineering teams. The role requires strong experience in enterprise software implementation, technical architecture, and hands-on experience with AI/ML deployments like LLM solutions and RAG 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 |
| Software Development Engineer - ML Ops Software Development Engineer focused on ML Ops for Workday's Payroll ML team. The role involves developing frameworks, automation, and tooling to support scalable ML Runtime Inference applications using technologies like Kubernetes, Docker, and Python. Responsibilities include implementing and operating distributed systems, deploying containers, managing cloud infrastructure, and driving adoption of new ML tools with reliability and scale in mind. The role requires experience with CI/CD pipelines, infrastructure as code, and collaboration with Data Scientists and ML Engineers. | Serve | 7 |
| Data Scientist - AI Platform Data Scientist on the Platform Consumption Console (PCC) team, responsible for building critical infrastructure for a consumption-based pricing model. The role involves leading data science efforts to understand business requirements, design, build, and implement ML solutions for statistical modeling, value measurement, and product decisions. Key responsibilities include ML modeling, data exploration, preparation, collection, integration, and operationalization, with a focus on enterprise-scale data and financial ledgers. | Data | 7 |
| Software Development Engineer - ML Ops (US Federal) Software Engineer to design, implement, and deliver highly scalable features for Workday's Machine Learning Runtime platform, focusing on microservices that power production ML features. The role involves developing frameworks, automation, and tooling for ML Runtime Inference applications, working with public clouds, and deploying/orchestrating containers in production environments. | Serve | 7 |
| 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 |
| Sr Associate Software Development Engineer Workday is seeking a Sr Associate Software Development Engineer to join the Agent Factory team, which builds AI agents for HR & Finance. This role involves implementing tooling strategies, integrating AI-driven solutions into the Workday platform, and contributing to the end-to-end development and operation of AI-powered agents. | Agent | 7 |
| Product Advisor, Deployment Innovation The role focuses on building an 'AI Deployment Engine' for Workday, using AI-powered automations and orchestrations to replace manual implementation work. The core task involves designing and refining an AI agent that can plan work, utilize tools and APIs, and learn from execution data, leveraging technologies like RAG and LLMs. | 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 |
| Forward Deployed Partner Architect This role focuses on architecting and building agentic AI solutions for enterprise customers, bridging the gap between Workday's platform and Global System Integrators. The Forward Deployed Partner Architect will lead the creation of Proof of Concepts (POCs) and "Agent Test Drives" to showcase Workday's AI capabilities, focusing on LLM orchestration, data models, security, and governance within a customer's IT ecosystem. | Agent | 7 |
| Forward Deployed Enterprise Architect Drives AI consumption and revenue by creating strategic, customer-specific roadmaps and optimizing platform entitlements. Accelerates sales cycles by building bespoke agentic Proof of Concepts (POCs) and leading hands-on Agent Test Drives for clients. Collaborates with Solution Architects and acts as a feedback loop to Product & Technology. | Agent | 7 |
| Agent Development Engineer - Agent Platform Workday is seeking an Agent Development Engineer to join their Agent Platform team, focusing on building and scaling the next generation of their agentic system. This role will engineer the intelligent data backbone and verified trust systems that power Workday's AI and Agents, with responsibilities including Agent Safety Scanning, Attestation, Observability, and enhancing the Customer Experience for Agent Management. The engineer will implement guardrails and security features, develop adversarial agents, and work with cross-functional teams to secure AI agents across the Workday ecosystem. | Agent | 7 |
| Principal Full Stack Engineer - Agent Platform This Principal Full Stack Engineer role on the Agent Platform team at Workday focuses on building and scaling the next generation of AI agents. The role involves developing user-facing and platform experiences to enhance trust in AI agents, including agent safety scanning, attestation, and observability. It requires designing and shipping full-stack solutions, integrating AI capabilities into HR and Finance workflows, and owning features end-to-end in a cloud environment. | Agent | 7 |
| Software Development Engineer - AI Platform (US Federal) Software Development Engineer to build and maintain the Agent Platform, focusing on infrastructure for developing, deploying, and operating AI agents in production. Responsibilities include designing backend services, systems, and tooling for the AI application SDLC, covering distributed systems, orchestration, developer experience, and enabling teams to reliably build, test, and scale AI-powered workflows. | AgentServe | 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 |
| Principal Technical Delivery Consultant - AI Practice This role is for a Principal Technical Delivery Consultant focused on AI solutions within Workday's Professional Services. The consultant will be responsible for designing and overseeing the technical realization of AI solutions for customers, including Native AI Agents, the Workday Agent Platform, and external LLMs. Key responsibilities include solution architecture, strategic advisory to C-suite, technical leadership in delivery, and providing feedback to Product and Engineering teams. The role requires strong experience in enterprise software implementation, technical architecture, and hands-on experience with AI/ML deployments like LLM-based solutions and RAG architectures. | Agent | 7 |
| Principal/ Senior Software Development Engineer (Full Stack) Workday is seeking a Principal/Senior Software Development Engineer to join their Agent Factory team. This role involves building production-grade AI agents deeply embedded into Workday's platform for HR and Finance workflows. The engineer will design and ship full-stack solutions, integrating LLMs with backend systems, and owning services from development to production. The position emphasizes working at the intersection of AI, platform architecture, and human workflows, with a focus on scaling intelligent agents responsibly. | Agent | 7 |
| Principal Software Engineer, AI Workday is seeking a Principal Software Engineer, AI to join the Deployment Adoption Platform team. This role will focus on building an AI platform to reduce the cost of implementing Workday globally, utilizing Large Language Models and agentic design patterns. The ideal candidate will have extensive experience in software engineering, Python, LangGraph, LangChain, and feature engineering, with a strong understanding of Data Science principles and experience with LLM-based applications and agentic systems. | Agent | 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 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer at Workday, focused on building an AI platform to reduce the cost of implementing Workday globally. The role involves hands-on experience with LLMs, agentic design patterns, and deploying ML models in production. | Agent | 7 |
| Senior Developer, Agentic AI Engineering Senior Developer for the Customer Agentic Solutions team, focusing on building and operating AI-powered translation self-help services and solutions to globalize Workday AI Agents. The role involves end-to-end ownership of AI features, including problem framing, model selection, prompt engineering, evaluations, safety, cost/latency optimization, and lifecycle governance, with an emphasis on production reliability and business outcomes. | Agent | 7 |