Jobs at Workday

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.

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.

Manage a portfolio of customers to drive CLM (Evisort) adoption and value realization. Design success plans, lead strategic engagements, use usage data to measure outcomes, collaborate cross-functionally, deliver executive briefings, and scale repeatable Specialized CS motions to improve retention and advocacy.

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.

Design, implement, and productionize ML solutions (LLMs, RAG, retrieval/graph-based systems) for HR and finance text data. Build scalable pipelines, model hosting services and APIs using Docker/Kubernetes and cloud platforms. Ensure evaluation, observability, and scalability, stay current with AI advances, and mentor junior engineers.

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 maintain front-end features for an AI-driven contract management SaaS. Collaborate with engineers, data scientists, product, and design; own functional areas from development to production; mentor teammates; apply modern dev practices to deliver scalable, user-centric 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.

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.

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 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 technical direction and implementation of a large-scale AI model serving platform. Design, build, and operate distributed systems (Ray/Ray Serve), ensure scalability, reliability, monitoring (Prometheus), CI pipeline robustness, and evolve the production model registry while collaborating with ML engineers and stakeholders.

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.