Jobs at Workday

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.

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.

Lead product for Workday Analytics Platform building Data Cloud and Prism capabilities. Define vision and roadmap, partner cross-functionally, own scrum team execution, prioritize features from customer and developer input, enable no-code ETL and scalable connectors, and drive performance, security, and adoption across stakeholders.

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.

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.

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.

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