Workday
Enterprise · HR & finance software
Enterprise · HR & finance software
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.
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).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| 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 |
| 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 - 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 |
| 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 (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 |
| 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 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 |
| Principal Developer Relations Engineer Principal Developer Relations Engineer responsible for enabling developers, partners, and internal teams on Workday's platform, with a focus on AI features, agentic solutions, and responsible AI usage. This role involves creating technical content, running early adopter programs, and providing hands-on guidance to the developer community. | Agent | 5 |
| Senior Developer Relations Engineer Senior Developer Relations Engineer at Workday, focusing on enabling developers and internal teams to build agentic solutions and leverage AI tooling on the Workday platform. This role involves creating technical content, samples, and demos, supporting early adopter programs, and acting as a technical bridge between the platform and its diverse communities, with an emphasis on responsible AI usage. | Agent | 5 |
| Software Development Engineer Software Development Engineer role focused on building AI agents and agentic developer experiences for the Workday platform. The role involves full-stack ownership, integrating LLM strategies, and developing tools for developer productivity. | Agent | 5 |
| Software Development Engineer III / Sr. Software Development Engineer - AI Platform The Agent Runtime team builds Workday’s secure execution platform for enterprise AI agents, focusing on enforcing policy through architecture for data access, tool use, model routing, and auditability. The role involves designing and building core runtime capabilities for policy-governed agent execution, including sandbox execution, sidecar interfaces, enforcement flows, and production reliability, with a strong emphasis on observability and integration with other teams. | Agent | 5 |
| Principal, Software Engineer (Distributed Systems) Principal Software Engineer role focused on designing and leading the architecture of core product microservices and large-scale distributed systems for Workday's Developer Platform. The role emphasizes building resilient, scalable backend infrastructure, driving cross-organizational technical strategy, and improving observability and operational excellence. While the role leverages AI-assisted development tools and integrates AI capabilities, its primary focus is on the underlying distributed systems and platform infrastructure, not on shipping AI models or agents as the core product. | — | 5 |
| Software Development Engineer Software Development Engineer role focused on building AI-powered developer tools for Workday's platform. The role involves full-stack development, including React interfaces and Node.js backend services, to enhance how developers build on Workday products. Key responsibilities include contributing to features for App Builder and CLI, collaborating with cross-functional teams, and troubleshooting issues. Familiarity with LLM integration, agentic architectures, and real-time streaming is required. | Agent | 5 |
| Enterprise Solutions Architect, Engineering Platform Services Workday is seeking an Enterprise Solutions Architect to define architectural direction for their Engineering Platform Services team, focusing on integrating AI and automation into platform services, including LLM-powered tooling and predictive operations. The role involves hands-on coding, leading design reviews, prototyping, and making multi-year architectural decisions to ensure a cohesive, scalable, and secure ecosystem. | Agent | 5 |
| Software Engineer - Agentic AI & API Platform Software Engineer role focused on building and maintaining APIs and backend services that support agentic AI use cases within Workday's enterprise platform. The role involves designing scalable, resilient distributed systems and optimizing APIs for consumption by both human developers and AI agents, ensuring they are deterministic, self-describing, and resilient for complex workflows. | Agent | 5 |
| Senior Software Engineer - Agentic AI & API Platform This role focuses on evolving the API surface and supporting mission-critical product flows for agentic AI use cases. The team is building and scaling APIs optimized for AI agents to understand and act on autonomously, ensuring these APIs are deterministic, self-describing, and resilient. The engineer will lead the design and development of high-throughput, low-latency APIs and frameworks, drive performance and observability improvements, and provide technical leadership. | AgentServe | 5 |
| Sr Software Development Engineer, Product Engineering – API Platform & Agentic AI This role is for a Senior Software Development Engineer on the API Platform & Agentic AI team. The engineer will lead the design and implementation of high-throughput, low-latency APIs and frameworks that support Workday's next generation of products and agents. This includes shaping API design, driving performance and observability improvements, and collaborating on frameworks for exposing data to API and agent workflows. The role focuses on building the foundational API platform that enables agentic AI capabilities. | AgentServe | 5 |
| Principal API Architect, Product Engineering – Agent‑Ready APIs & Data Workday is seeking a Principal API Architect to lead their API strategy for agentic and integration-heavy scenarios. This role will define and evolve the API architecture, standards, and review processes for Product Engineering, ensuring seamless integration of AI agents and products. The architect will partner with product and platform leaders, establish standards for various API types, and mentor senior engineers. While the role involves working with AI agents, the core focus is on the API architecture and integration layer, not direct AI model development. | — | 5 |
| Technical Implementation Manager Workday is seeking a Technical Implementation Manager for its HiredScore team, which provides AI-powered Talent Orchestration technology. The role involves managing customer implementations, acting as a solution consultant, and ensuring project scope, quality, and timelines are met. Responsibilities include creating project plans, tracking progress, resolving issues, configuring the product, and collaborating with various internal and external stakeholders. The ideal candidate has experience in technical/project implementation management, SaaS implementation, and working with enterprise products, with strong analytical and problem-solving skills. | — | 5 |
| Senior Cybersecurity Data Engineer - Data Platform & Lakehouse SME Workday is seeking a Senior Data Engineer to be the Subject Matter Expert (SME) for Data Platform and Lakehouse Architecture. This role will focus on building, securing, and optimizing the data lake, storage layers, and compute infrastructure for their cybersecurity data platform. Responsibilities include designing the Data Lakehouse on AWS, optimizing storage formats, scaling compute infrastructure, architecting data marts, implementing security and access controls, and using Infrastructure as Code. The role requires deep experience in data platform engineering, AWS data services, and open-table formats. | — | 5 |
| Sr / Software Development Engineer This role is for a Senior Software Development Engineer on the Agent Platform team, focusing on building the core Agent System of Record (ASOR) platform. The ASOR platform is central to Workday's AI and agentic initiatives, enabling the secure deployment, extension, management, and measurement of various agents. The engineer will drive design and implementation of core features, create platform and service architecture, collaborate with architects, present to leadership, and mentor junior engineers. Familiarity with LLMs is a plus. | Agent | 5 |
| Sr. Software Development Engineer This role is for a Sr. Software Development Engineer with a backend focus on the App Hub team, responsible for designing, building, and operating production microservices on AWS and Kubernetes. The role involves end-to-end ownership of services, including frontend interfaces, incident response, and reliability improvements. While the company is an AI platform, the core responsibilities are in building and operating infrastructure, with some experience in AI-assisted development tools and integrating AI capabilities being a plus. | — | 5 |
| Sr Quality Assurance Engineer (Customer Facing) This role is for a Sr. Quality Assurance Engineer on the Pipedream team, which enables AI agents to connect to various software and services. The role is customer-facing, focusing on supporting developers using the platform, debugging complex integration issues, and improving support processes. It requires strong technical skills in JavaScript or Python, API troubleshooting, and a working knowledge of AI concepts like LLMs and agents. The goal is to ensure the reliability and evolution of the platform based on real-world feedback. | Agent | 5 |
| Sr. Software Engineer (Distributed Systems) Senior Software Engineer role focused on building and scaling core backend infrastructure services for Workday Extend, including event messaging, identity management, and provisioning. The role emphasizes designing and maintaining resilient distributed systems and microservices, leveraging AI-assisted development tools, and ensuring high velocity and reliability in cloud environments. | — | 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 |
| Principal Software Engineer - Core Platform Integration Principal Software Engineer for Workday's Core Platform Integration Team, focused on migrating acquired companies' services onto Workday's cloud-agnostic platform (CP2). This role involves setting architectural direction, leading migration efforts, defining platform requirements, and bridging technical gaps between acquired teams and the core infrastructure platform. The engineer will establish migration playbooks, ensure adherence to standards, and mentor other engineers. The role requires deep expertise in multi-cloud environments (AWS/GCP) and experience with large-scale infrastructure integrations, with an emphasis on using AI tools to accelerate work. | — | 5 |
| Sr Software Development Engineer - Core Platform Integration Workday is seeking a Sr Software Development Engineer to join their new Core Platform Integration Team. This role will focus on migrating acquired companies' services onto Workday's cloud-agnostic platform (CP2). Responsibilities include analyzing technical deltas, designing migration approaches, writing code and IaC for migration, and collaborating with engineering leads and platform owners. The ideal candidate has hands-on cloud migration experience, proficiency in Kubernetes, Terraform, CI/CD, and observability stacks. | — | 5 |
| Sr Cybersecurity Engineer This role focuses on cybersecurity within an enterprise AI platform, specifically in active defense. The engineer will use AI and ML tools for threat hunting, vulnerability assessment, and developing AI-assisted detection and response capabilities. They will also work with agents, automation, and workflow orchestration to improve security. | Agent | 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 |
| WoW Finance Source to Pay Functional Architect - Customer Zero This role is for a Functional Architect on the WoW Finance - Source to Pay team at Workday, focusing on the Evisort platform. The role involves managing daily operational support, owning the roadmap and architecture strategy for new Evisort builds, partnering with business teams to understand requirements, evaluating and optimizing existing processes, and collaborating across functional areas. The company describes itself as a leading AI platform for managing people, money, and agents, and highlights its Document Intelligence AI and Contract Intelligence offerings. | — | 5 |
| Software Development Engineer (US Federal) Software Development Engineer with a backend focus to join the App Hub team, designing, building, and operating production microservices on AWS and Kubernetes for Workday's Extend developer ecosystem. The role involves full-stack development, end-to-end service ownership, and utilizing AI-assisted development tools. | — | 5 |
| 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 |
| Senior Infrastructure Engineer - Sana Workday is seeking a Senior Infrastructure Engineer for their Sana AI lab, which builds AI for work. The role focuses on building and maintaining the technical foundation for AI products, including cloud infrastructure, deployment systems, and developer tooling, with an emphasis on reliability and performance. The engineer will support feature development teams and act as a Site Reliability Engineer (SRE). | — | 5 |