Workday
Enterprise · HR & finance software
Currently tracking 23 active AI roles, down 11% 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.
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.
Enterprise · HR & finance software
| Title | Stage | AI score |
|---|---|---|
| Principal AI Researcher Workday AI Research is a newly built, elite organization dedicated to advancing the state-of-the-art in AI to power the Agentic Enterprise. As a Principal AI Researcher, you will be a technical founder and visionary, defining research roadmaps for agentic reasoning, long-horizon planning, and model alignment. This role bridges the gap between groundbreaking theory and massive-scale application, with a focus on foundational model research (pre-training, post-training, alignment) and leading contributions to the AI community through publications and open-source releases. You will also partner with engineering to integrate research into production-ready services and mentor the research team. | PretrainAgent | 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 |
| 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 |
| Sr Product Manager - Enterprise Solutions Product Manager for Enterprise AI solutions, focusing on Workday's internal 'Customer Zero' strategy. The role involves identifying internal business problems, architecting and delivering AI/ML-driven product solutions using Workday's technology stack, and providing feedback to core product teams. The goal is to transform internal operations into an AI-driven ecosystem and ensure products are battle-tested before external release. | ShipAgent | 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 |
| 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 / 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 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 |