Jobs at Workday

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.

Build and ship end-to-end features for Workday Everywhere integrations and collaboration surfaces. Collaborate with product and engineering teams to design, implement, test, and maintain reliable, production-quality full-stack code, participate in code reviews, and improve CI/CD and system scalability.

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.

Lead design and delivery of production-grade agentic AI systems: architect LLM integration, orchestration, and routing; ensure reliability, low latency, cost efficiency, and Responsible AI guardrails; translate AI capabilities into enterprise product value and mentor cross-functional teams.

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 end-to-end architecture and product integration of production-grade LLM/agent systems. Design AI orchestration, multi-agent frameworks, routing and RAG pipelines, ensure responsible AI guardrails, and optimize for latency, cost, and reliability at cloud scale.

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.

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.

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.