Jobs at Workday

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.

Design and build production-grade ML systems and LLM-powered agent frameworks (RAG, orchestration, evaluation). Own model lifecycle from data strategy to deployment, monitoring, and continuous improvement, partnering with software engineers, product managers, and data scientists to integrate scalable, observable, and enterprise-ready agents.

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.

Design and build production-grade ML systems for LLM-powered agents: implement RAG pipelines, orchestration, deployment, monitoring, and continuous improvement at scale while partnering with product, software, and data teams.

Lead product-focused adoption analytics by sourcing and analyzing enterprise telemetry, designing scalable data pipelines, building BI dashboards and executive narratives, conducting forensic investigations, and partnering cross-functionally to measure and optimize product and AI agent impact.

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.

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.

Design, build, and deploy scalable AI features using LLMs, knowledge graphs, and orchestration frameworks. Integrate models into enterprise products, optimize performance and latency, and manage model lifecycle, observability, and cloud-native deployments. Collaborate cross-functionally, lead engineering workstreams, and maintain high quality, secure production services.

Enable strategic GSI and ecosystem partners on Workday HCM and agentic AI: develop functional playbooks, translate roadmap into partner-ready narratives, advise on competitive positioning and regulatory risks, support demo readiness, and act as a first-line functional expert for partner HCM teams.

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.

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.

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.

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.