Jobs at Workday

As a Specialized Customer Success Manager for CLM, you will drive customer adoption and value realization through structured plans and strategic engagements, collaborating cross-functionally to ensure success in contract lifecycle management processes.

The role involves architecting AI solutions, optimizing ML systems, and deploying advanced retrieval frameworks. Engineers will lead ML lifecycle from research to production, collaborating across teams to build AI-first products.

The role involves driving complex sales, managing sales cycles, and building relationships with enterprise accounts to sell cloud-based financial solutions. The candidate should possess strong project management skills and consultative selling techniques, focusing on maximizing the Workday Financial products suite.

Build and operate a cloud data platform that ingests, computes, curates, and serves datasets for Workday applications and AI/ML workflows. Develop scalable service endpoints, deploy production services with CI/CD, Docker, Kubernetes and Terraform, and maintain monitoring, logging, performance, availability, and on-call responsibilities.

Build and operate full-stack AI-powered agents integrated into HR and Finance workflows. Collaborate cross-functionally to design, implement, and run production services, mentor teammates, and apply strong engineering practices across the stack (frontend, backend, databases, cloud, containers, CI/CD, and observability).

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.

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.

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.

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.

Build and ship full-stack features for AI agents embedded in HR and finance workflows. Own services end-to-end, collaborate with ML and product teams, operate production systems, mentor teammates, and promote strong engineering practices.

Build and deliver full-stack features powering AI agents embedded in HR and finance workflows. Own services from development through production, collaborate with ML and product teams, mentor teammates, and maintain high engineering standards for scalable, reliable SaaS systems.

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.

Design and build LLM- and ML-based document intelligence systems: entity extraction, entity resolution, and classification. Develop scalable ML pipelines, perform EDA, improve model accuracy and efficiency, and deploy production-grade models. Collaborate with engineers and product teams, write maintainable code, run experiments and benchmarks, and own features end-to-end.

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.

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.