Jobs at Workday

Lead cross-functional teams to build and operate AI-powered HR and finance agents integrated into the Workday platform. Own design, development, production operations, mentor engineers, and implement scalable, observable SaaS solutions using modern full-stack and cloud technologies.

Senior backend engineer to design, build, operate, and optimize scalable AI-driven contract management services. Collaborate with cross-functional teams, develop high-performance APIs, implement monitoring/observability, and mentor teammates while owning multiple platform areas from development through production.

Lead design and implementation of agentic capabilities enabling agents to access Workday Data Cloud via a semantic layer and MCP server. Architect, build, validate, and monitor ML/agent systems, deliver mission-critical features on schedule, evaluate agent effectiveness, develop APIs, and mentor/lead engineering teams.

Design, build, and harden Workday's Spark- and Trino-based cloud data platform. Implement fault-tolerant architectures, self-healing mechanisms, observability (tracing, metrics, alerts), scalability and multi-tenant isolation, and develop data-processing algorithms for interactive querying and large-scale cube building.

Lead engineering to build a unified platform enabling agentic access to Workday Data Cloud via a semantic layer and MCP server. Architect, implement, validate, and scale ML and agent systems, deliver mission-critical features on schedule, design APIs, and mentor engineering teams.

As a Full Stack Software Engineer, you will develop and deliver full stack features for AI agents integrated into HR and financial workflows, collaborating within a cross-functional team to ensure quality and performance 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 and grow a software engineering team building enterprise contract-management AI products. Partner with product, ML, and design to deliver scalable SaaS solutions, own platform performance and operations, recruit and mentor engineers, and drive AI initiatives (LLMs, agents, RAG) with strong devops, testing, and observability practices.

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.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

Build and ship full-stack features that power AI agents across HR and Finance workflows. Own services end-to-end from development through production, collaborate with ML engineers and product teams, mentor teammates, and maintain strong engineering practices for scalable, reliable SaaS systems.

Lead engineering to build a unified platform for agent interactions with Workday Data Cloud, managing teams, and ensuring high-quality software delivery.

The role involves leading quality assurance by automating tests, enhancing platform scalability, mentoring SDETs, and collaborating with engineering teams on a SaaS contract management platform.

Lead a team of engineers developing the Agent Platform for AI agents. Responsibilities include roadmap execution, system design, best practices, and team development.

As a Senior Backend Software Engineer, you'll enhance the AI-driven contract management platform by collaborating with teams, optimizing code, and ensuring platform performance through API development and monitoring strategies.

The role involves designing, developing, and deploying scalable machine learning models and AI systems, focusing on end-to-end ownership of the ML lifecycle, collaborating cross-functionally, advocating for technical excellence, and mentoring junior engineers while championing Responsible AI practices.

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

As a Principal Machine Learning Engineer, you'll design and implement core ML systems for AI agents, collaborating with cross-functional teams and overseeing the full lifecycle of products from data strategy to deployment.

Lead overall success for an assigned portfolio of Workday subscribers: build executive relationships, orchestrate cross-functional resources, drive adoption and subscription retention/growth, and deliver exceptional customer experiences while supporting deployments and ongoing production.

Lead a team to design, build, and deploy scalable AI agents for HR and Finance. Define tooling and framework choices, integrate LLMs and orchestration, implement RAG and vector search, ensure compliance, monitoring, and continuous learning, and collaborate across product, engineering, and vendors to deliver enterprise-grade AI automation.