Workday

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 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 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.

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.

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.

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.

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 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.

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.

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 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.