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 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.

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.

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.

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.

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.