Workday

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.

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.

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).

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.

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.

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.

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.

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.

Workday is seeking a Senior Product Manager for their Evisort team, focusing on Contract Intelligence & Analytics. This role involves orchestrating the vision, strategy, and roadmap for AI-powered features that read and understand contract language to streamline business processes. The Product Manager will work with data science teams to develop new AI models, define product requirements, and launch generative AI products, including LLMs, to transform contract negotiation and management for enterprise customers.

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.

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.

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.

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.

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.

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.

Product Manager for Workday's Paradox LLM Platform, focusing on a conversational recruiting AI assistant. The role involves owning the end-to-end product lifecycle for core AI capabilities, including discovery, requirements, design, launch, monitoring, and improvement. Key responsibilities include reviewing LLM traces, acting as a liaison between engineering and business teams, defining product vision and roadmap, and driving solution design for AI, RAG, agents, and LLM orchestration.

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.

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.

This role is focused on building an 'AI Deployment Engine' for Workday, which involves creating AI-powered automations and orchestrations to replace manual implementation work for HCM and Payroll projects. The core of the role is to design and refine an AI agent capable of planning work, using tools and APIs, and learning from data, utilizing technologies like RAG and LLMs.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Principal Product Manager for Finance Applications at Workday, focusing on defining and driving an AI-first strategy for the finance application ecosystem. This role involves orchestrating Workday's product suite, custom innovations, and third-party technologies to build an intelligent financial platform by embedding intelligent automation, predictive analytics, and generative AI. The PM will define roadmaps, design digital and agentic finance experiences, lead product lifecycles, mentor a team, partner with leadership, and influence the finance product roadmap. Requires significant experience in product management, launching AI/ML-powered products, and ERP/finance domain expertise.

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.

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.

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.

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.

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.

Senior Product Manager for Payroll AI, focusing on strategy and delivery of AI-powered features and skills for a Payroll Agent. The role involves owning projects across the agent lifecycle, defining customer problems, shaping platforms, and translating AI capabilities into scalable solutions and customer impact. This is a product-focused role within an enterprise AI platform, dealing with production-grade AI embedded into Workday's platform.

Senior Product Manager to lead strategy and delivery of AI-powered agents for Workday's enterprise platform. Focus on customer problem definition, shaping platforms, and translating AI capabilities into scalable solutions and measurable customer impact. Role requires strong product judgment, execution bias, and curiosity about AI's business applications.

This role is for a Functional Consultant for Workday CLM Evisort, focusing on implementing Workday's product solutions for contract management and intelligence. While the company uses AI extensively and the product involves AI technology for contract searchability and automation, the consultant's primary function is implementation and configuration of existing SaaS solutions, not direct AI/ML model development or research.

This role is for a Technical Consultant on the Workday CLM and Contract Intelligence team, which uses AI to make contracts searchable and simplify deal-making. The consultant will provide expertise, deliver solutions to customers, and help scale the organization by creating repeatable processes. The role requires experience in business process analysis, SaaS project delivery, CLM/Contract Intelligence, and API integrations.

Workday is seeking a GTM-A (Go-To-Market Associate) for their AI lab, Sana, in Stockholm. This role focuses on bringing AI products to market, identifying market needs, shaping products, and driving lead generation and qualification to build a sales pipeline. The associate will work closely with leadership to shape the go-to-market strategy in an evolving AI market, acting as a first touchpoint with stakeholders at global organizations. The role requires a strong understanding of B2B startups, market assessment, problem-solving, and excellent communication skills. While the company is deeply involved in AI, this specific role is in Go-To-Market, not direct AI/ML development.

This role is for a Go-To-Market (GTM) Associate at Sana, an AI lab within Workday focused on building AI for work. The GTM team is responsible for bringing Sana's AI products to market, identifying market needs, shaping products, and enabling sales and market expansion. The role requires assessing markets, identifying opportunities, and executing strategies in a fast-paced AI environment.

This role is for a Sr. Grants Management Implementation Consultant at Workday, a company that uses AI tools to enhance its enterprise AI platform for managing people, money, and agents. The consultant will partner with colleges and universities to design, configure, and deploy Workday Grants Management solutions, focusing on implementation, data conversion, integrations, and testing. While the company utilizes AI tools and has an AI platform, the core function of this role is consulting and implementation of a financial management system, not direct AI/ML model development or research.

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.

This role is for an Engagement Manager at Workday, focusing on implementing and driving value realization for their AI platform for managing people, money, and agents. The role involves leading complex customer engagements, orchestrating cross-functional teams, and ensuring the successful adoption and impact of Workday's solutions. While the company is an AI platform and the role involves implementing AI solutions for customers, the core function is customer engagement and project management, not direct AI/ML model development or research.

This role is for a Solution Portfolio Lead at Workday, focusing on the oCHRO (Chief Human Resources Officer) domain. The primary responsibility is to manage strategic alignment for key HR areas like Talent Management, Recruitment, and Workforce Planning, ensuring the enablement ecosystem is prepared for product and strategy shifts. The role involves translating CHRO challenges into enablement requirements and architecting knowledge into a standardized enablement Bill of Materials. While the company is an AI platform and mentions AI-powered tools, the core function of this role is product strategy and enablement, not direct AI/ML development.

This role is for a Solution Portfolio Lead at Workday, focusing on the oCFO (Office of the Chief Financial Officer) domain. The primary responsibility is to manage strategic alignment for key areas like New Product Launches, Evisort, and Financial Planning, ensuring consistency with upstream business lines and preparing the enablement ecosystem for product and strategy shifts. The role involves translating CFO persona challenges into enablement requirements and architecting knowledge into a standardized enablement Bill of Materials. While the role mentions AI-powered tools for enablement and self-service, the core function is product strategy and enablement management, not direct AI/ML development.

Workday is seeking a Principal Product Manager to join their Business Technology Go-To-Market (GTM) Digital Customer Experience (DCX) team. This role will define the technical product roadmap, design digital customer experiences, and develop customer-facing properties. The Product Manager will collaborate with business stakeholders and development teams to drive customer journey and digital engagement projects, ensuring cohesive and personalized experiences across Workday properties. The role requires extensive experience in product management for SaaS/cloud-based enterprise software and strong skills in influencing, collaboration, customer advocacy, data analysis, decision-making, domain knowledge, research strategy, stakeholder management, and strategic thinking.

This role is for a Senior Value Manager at Workday, a company that provides an AI platform for managing people, money, and agents. The primary focus is on helping large organizations make strategic decisions about Workday, particularly its AI and data platform capabilities. The role involves acting as a strategic advisor to sales teams and C-level executives, crafting compelling narratives around Workday's value proposition, and translating complex AI concepts into tangible business outcomes. The individual will lead value engagements, conduct quantitative analysis (ROI, TCO), and partner with sales to ensure consistent value storytelling. While the role heavily involves discussing and articulating AI capabilities, the core function is strategic sales enablement and business value articulation, not direct AI/ML model development or deployment.

This role is for a Specialized Account Executive at Workday, focusing on selling the Workday AI Talent Suite, which includes HiredScore and Paradox. The role involves selling a vision of 'Human + AI' orchestration and collaboration, guiding customers towards a unified, agentic AI reality for Total Talent Acquisition. Key responsibilities include driving the 'Total Talent' narrative, diagnosing customer needs to deploy AI agents (Paradox for conversational AI/scheduling, HiredScore for talent orchestration/prioritization), competitive positioning against external CRMs, co-selling with core account executives, managing complex sales cycles with stakeholders like CHROs and CIOs, and navigating data privacy and 'Responsible AI' concerns. The role requires strong experience in HR Technology, Talent Acquisition, or AI-driven recruiting software, with a focus on selling complex SaaS/Cloud solutions and multi-product suites.

This role is for a Principal Functional Consultant focused on AI transformations within Workday's Professional Services organization. The consultant will design end-to-end AI solutions for enterprise customers, focusing on Workday's Native AI Agents and Agent Platform to improve HR and Finance processes. The role involves strategic advisory, functional leadership, and partnering with Product and Engineering to influence AI product evolution. The goal is to ensure AI solutions are usable, ethical, scalable, and deliver measurable business value.

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.