Jobs at Workday

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.

Build and maintain automated functional, regression, performance, and load testing for an enterprise SaaS contract management platform. Collaborate with engineering and product teams to define quality criteria, develop test automation frameworks, support CI/CD integration, and promote quality throughout the software development lifecycle.

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.

Demonstrates Workday Financials to prospects and customers throughout the sales cycle. Delivers technical presentations, product demonstrations, workshops, seminars, discovery sessions, proof-of-concept builds, and RFI responses. Partners with sales to qualify opportunities, understand financial processes, address customer questions, and support deal closure. Requires accounting and financial management expertise, cloud ERP experience, strong executive communication skills, bilingual French and English fluency, and 50% travel.

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.

Leads a specialized enterprise sales team selling platform, data, analytics, AI, and extensibility solutions to CIO and CTO organizations. Responsibilities include coaching account executives, managing complex $500K+ ARR sales cycles, overseeing statements of work and technology roadmaps, forecasting revenue, modeling business performance, and coordinating co-selling with AWS, GCP, and global system integrators.

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.

As a Software Engineer on the Pipedream team, you'll enhance Pipedream Connect's capabilities, develop APIs, and work with a diverse tech stack, including Go and Node.js, to deliver impactful integrations for customers.

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.

Serve as the Finance-focused functional expert enabling GSI and ecosystem partners on Workday Financials and agentic AI. Develop playbooks, translate roadmap into outcomes, support partner positioning, demos, competitive messaging, and regulatory/risk considerations for finance AI use cases. Collaborate with solution architecture, solution consulting, and partner teams to ensure partner readiness, demo fidelity, and go-to-market success.

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 the vision, strategy, roadmap, and execution for Workday Evisort’s Contract Intelligence and Analytics portfolio. Partner with engineering, data science, design, marketing, customers, and domain experts to build and launch generative and predictive AI products. Define requirements, evaluate market opportunities, develop monetization strategies, track product metrics, and deliver contract intelligence capabilities for enterprise customers.

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.

Design, build, and deploy scalable AI features using LLMs, knowledge graphs, and orchestration frameworks. Integrate models into enterprise products, optimize performance and latency, and manage model lifecycle, observability, and cloud-native deployments. Collaborate cross-functionally, lead engineering workstreams, and maintain high quality, secure production services.

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.