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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.