Jobs at Workday

The Software Engineer will design, implement, and deliver scalable AI platform features, including backend services and tooling for AI agents using Python and Kubernetes.

The role involves managing a software engineering team, collaborating with product and design teams, and driving AI initiatives for contract management solutions.

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning models, lead data analysis, and implement MLOps practices within the AI Core team.

Design and implement backend services for AI agent applications, focusing on distributed systems and Kubernetes deployment, while improving system performance and developer experiences.

The Machine Learning Engineer will design and build core ML systems for AI agents, managing their lifecycle, from design to deployment, and ensuring scalability and reliability.

As a Machine Learning Engineer, you will develop user experiences using LLMs and predictive analysis, deliver ML solutions, and ensure continuous improvement in AI products at scale.

The Principal DataOps Engineer will optimize cloud-based platforms through CI/CD automation, lead a small team, and drive data-driven decision-making across the organization.

The Principal Managing Partner ensures customer success with Workday solutions by developing executive relationships, overseeing deployments, and driving subscription growth.

As a Senior Software Development Engineer, you'll design and build AI-powered backend services, APIs, and data pipelines while ensuring system scalability, security, and performance.

The role involves developing AI technology for contract management, analyzing contracts, collaborating with teams, and automating processes.

As a Senior/Principal Machine Learning Engineer, you will design and build core ML systems for Workday's AI agents, owning the entire lifecycle from problem framing to deployment and improvement, while collaborating cross-functionally to create scalable solutions.

We are seeking a DataOps Engineer to optimize our cloud-based data platform, implementing CI/CD automation and collaborating across teams to enhance data-driven decision-making.

As a Senior Frontend Engineer, you'll collaborate with design and engineering teams to develop shared component libraries and design systems, ensuring high-quality user interfaces and adherence to design specifications.

Develop ML-powered features for HR & Talent products, build scalable MLOps platform, design APIs/microservices, and manage ML infrastructure.

As a Principal Software Engineer, you will collaborate with cross-functional teams to enhance an AI-driven contract management platform, mentor teammates, and oversee multiple functional areas from development to production.

As a Fullstack Software Engineer, you'll collaborate with multi-functional teams to enhance AI-driven solutions, participate in software development best practices, and take ownership of various platform functional areas.

Lead the delivery of AI-powered agents, collaborating with teams, managing early adopter programs, and advocating for AI capabilities to enhance customer experience.

As a Fullstack Software Engineer, you'll enhance Evisort's AI-driven contract management platform by collaborating with cross-functional teams and taking ownership of multiple functional areas from development to production.

As a Full Stack Software Engineer, you will build AI features for HR and Finance workflows, collaborating in cross-functional teams and managing services end-to-end.

Design and build the core platform for developing and operating AI agents at scale, focusing on reliability, observability, and automation.