Jobs at Workday

Deploys, configures, troubleshoots, and improves Workday AI agents in early-access customer environments. Serves as the technical contact for design partners, analyzes tenant data and workflows, triages bugs and configuration issues, translates customer feedback into engineering requirements, and documents deployment playbooks. The role also supports product readiness evaluations, customer implementations, and early general availability releases while managing risks, expectations, and technical initiatives.

Leads customer discovery and end-to-end deployment of Workday AI agents in enterprise environments. Configures, debugs, and improves solutions using customer data and workflows; manages Early Access customers and executive stakeholders; triages issues; translates feedback into product improvements; defines graduation criteria; and creates deployment playbooks and documentation. Requires deep Workday knowledge, enterprise implementation experience, entrepreneurial ownership, and travel to customer sites up to 20%.

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.

Design, develop, deploy, and operate scalable machine learning systems, including predictive models, generative AI, and LLM-powered agents. Own the full ML lifecycle from data extraction and feature engineering through production deployment, optimization, and monitoring. Collaborate with data scientists, engineers, product managers, and designers; establish MLOps best practices; mentor junior engineers; conduct technical reviews; and ensure responsible AI practices covering privacy, security, fairness, and ethics.

Build and operate scalable full-stack features for Evisort’s AI-driven contract management platform. Collaborate with engineering, data science, product, and design teams to deliver user-centric SaaS solutions. Own functional areas from development through production, contribute to architecture and roadmap decisions, mentor teammates, and apply modern engineering practices including distributed systems, DevOps, CI/CD, automated testing, containerization, and observability.

Leads presales solution consulting for Workday’s HCM and ERP platform in the emerging enterprise segment. Responsibilities include developing go-to-market and sales enablement content, creating demonstrations, delivering presentations and technical workshops, supporting RFIs and RFPs, answering product questions, and helping close sales. The role requires HR and cloud HCM application expertise, strong presentation and communication skills, value-based selling experience, bilingual French and English proficiency, and up to 25% travel.

Design and deliver production-grade agentic AI experiences for Workday Financials. The role integrates foundation models and AI APIs into user-facing products, orchestrates multi-step agent workflows, and develops evaluation datasets, test suites, and automated metrics. Responsibilities include ensuring privacy, reliability, explainability, and governance for sensitive enterprise data; collaborating across product and engineering teams; mentoring teammates; and addressing latency, cost, and system reliability constraints.

Leads a regional enterprise sales team focused on identity governance and access management. Coaches Account Executives, orchestrates complex sales cycles, engages CISO, CIO, and CTO stakeholders, drives forecasting and pipeline accountability, supports partner co-selling, and develops Workday’s identity governance market narrative. The role requires strong cybersecurity and identity fluency, executive selling experience, cross-functional leadership, and the ability to position identity controls for human and AI-agent workforces.

Lead complex enterprise sales cycles for Workday platform, data, analytics, AI, and extensibility solutions. Build executive relationships with CIOs and CTOs, develop account strategies and pipeline, translate technical priorities into business value, and close large multi-stakeholder deals. Coordinate presales, product, customer success, partners, and core account teams while advancing cloud, data, AI, integration, security, and enterprise transformation opportunities.

Leads vision, strategy, and roadmap execution for Workday’s AI-powered Contract Intelligence and Analytics portfolio. Partners with engineering, data science, design, marketing, customers, and executives to develop generative and predictive AI products, define requirements, analyze markets, establish monetization strategies, and deliver enterprise SaaS solutions at scale.

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.

Develop and deploy scalable AI products using LLMs, knowledge graphs, personalization, and predictive analysis. Build reliable AI orchestration workflows, backend services, data pipelines, and cloud-native infrastructure. Architect maintainable systems, evaluate model performance, implement observability and experimentation, and deliver secure, high-availability software. Collaborate with product, design, and ML infrastructure teams while mentoring engineers and translating ambiguous product goals into customer-focused solutions.

Designs and operates cloud infrastructure, distributed systems, CI/CD pipelines, Kubernetes and EKS environments for a high-scale SaaS platform. Responsibilities include infrastructure automation, capacity planning, performance optimization, monitoring, alerting, security, infrastructure as code, developer productivity tooling, and maintaining highly available systems. The role collaborates closely with developers and platform engineers to deploy reliable, scalable services across AWS and GCP.

Lead development of scalable AI platforms and production machine learning services. Design agentic AI capabilities including tool calling, multi-agent systems, planning, reasoning, and human-in-the-loop workflows. Build Python services and Kubernetes-based ML infrastructure, multi-tenant runtimes, data pipelines, and cloud deployments. Apply MLOps, automation, observability, CI/CD, testing, and distributed-systems practices while collaborating with engineers, researchers, and cross-functional teams.

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.

Design and build core ML systems for production-grade AI agents, owning model, agent logic, orchestration, deployment, monitoring, and continuous improvement. Implement RAG pipelines, workflow orchestration, evaluation and feedback loops, and ensure scalable, observable, explainable, enterprise-ready solutions in collaboration with product, software, and data 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.

Leads complex enterprise sales cycles for Workday platform, data, analytics, AI, and extensibility solutions. Builds executive relationships with CIOs and CTOs, develops account strategies and pipeline, translates technical priorities into business value, and coordinates presales, product, customer success, partner, and sales teams. The role requires selling complex SaaS solutions, closing large multi-stakeholder deals, and collaborating with cloud, systems integration, and technology ecosystem partners.