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 cross-functional teams to design, build, and operate AI-powered HR and finance agents integrated into Workday. Own multiple platform areas, mentor engineers, implement tooling, and ensure scalable, production-ready SaaS solutions.

Sell Workday Financial products to large higher-education accounts. Lead complex enterprise sales cycles, build executive relationships with CFOs, negotiate contracts, and drive adoption of cloud ERP Financial, Planning, and Expense Management solutions.

Sell Workday enterprise SaaS solutions to medium government customers. Develop territory and account strategies, qualify and close net-new opportunities, coordinate with pre-sales, manage pipeline and forecasts, and generate leads through programmatic approaches while collaborating with internal teams.

Deliver micro-consulting to Workday customers focused on Spend and Financials: troubleshoot configuration, demonstrate features, drive adoption, perform tenant reviews, deliver presentations, and maintain Workday product expertise and certifications.

Deliver compelling Workday Financials product demonstrations, workshops, and executive presentations to support sales. Qualify prospects, assist with RFIs/RFPs and proofs-of-concept, perform discovery with customers, and leverage deep financials/ERP expertise to drive deal closure. Collaborate cross-functionally and travel up to 50% to meet customers and prospects.

Lead design, development, and production deployment of large-scale ML and LLM-powered document intelligence products. Build and scale models and services, mentor ML engineering teams, drive model lifecycle, and apply knowledge graphs, GNNs, RAG, and cloud infrastructure to improve contract intelligence and customer experience.

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.

Design, build, and operate secure, policy-governed runtime services for enterprise AI agents. Implement sandboxed execution, sidecar interfaces, enforcement pathways, model mediation, telemetry, and high-concurrency reliability. Collaborate with partner teams, participate in architecture reviews and incident response, and mentor engineers to improve platform quality and observability.

Design and build core developer platform capabilities (APIs, SDKs, integrations) with emphasis on scalability, reliability, and developer experience. Lead architecture, API governance, and platform implementation, collaborate cross-functionally, mentor engineers, and support developer documentation, onboarding, and tooling improvements.

Lead end-to-end global ASC 740 tax provision close and governance for a public multinational. Perform complex technical analyses, SEC reporting, audit and SOX support, mentor global teams, drive automation, and document tax impacts of transactions and structural changes.

Lead and deliver Workday's Agent Runtime platform for secure, policy-governed AI agent execution. Manage and grow engineering teams, define architecture and roadmaps, ensure security, reliability, observability, and compliance, set SLOs and metrics, and coordinate cross-functional partnerships to productionize a multi-tenant runtime at scale.

The Enterprise Architect leads technology solutions for complex Spend and Contract strategies, advises C-Suite stakeholders, and develops technical materials. They guide customers in transforming processes with AI and ensure successful pre-sales for technical RFI/RFP proposals.

Lead design and operation of a cloud-native cybersecurity data lakehouse on AWS. Define storage/table formats, partitioning, compute engines (EMR, Athena, Redshift), governance (Lake Formation, IAM), IaC provisioning, cost governance, and capacity planning to support analytics, ML, and security operations.

Design and optimize a cloud-native cybersecurity data lakehouse to support ML and GenAI workloads. Build feature store and vector DB architectures, high-throughput APIs and connectors, enable distributed compute for training/inference, and collaborate with Data Science and MLOps to productionize models and automate pipelines.

Serve as primary technical liaison for Workday integrations across pre-sales, sales, implementation, and post-sale. Solve client-specific integration challenges, enable sales and engineering processes, create documentation/whitepapers, and translate client business needs into technical and operational requirements.

Drive net-new customer growth by developing territory strategy, account planning, and coordinating pre-sales resources. Prospect and engage Medium Enterprise education customers and C-suite stakeholders, position Workday solutions, negotiate and close deals, and maintain accurate pipeline, forecasts, and account data.

Sell Workday solutions into existing large enterprise customers, driving renewals and add-on business. Perform account planning, manage long sales cycles, negotiate with C-level executives, and coordinate cross-functionally to deliver strategic, consultative solutions.

Lead AI-driven product management efforts within Workday's Enterprise Solutions, focusing on internal transformations and scalability, while collaborating with cross-functional teams to enhance product delivery and metrics.

The Payroll Senior Consultant will implement Workday's Payroll solution for FSI and PS customers, ensuring best practices and providing expert guidance throughout the engagement.