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 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.

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.

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.

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.