Senior Engineer, Workday AI Developer

Senior Engineer, Workday AI Developer page is loaded## Senior Engineer, Workday AI Developer locations:
US-Nationwide-FIELDtime type:
Full time posted on:
Posted Todayjob requisition :

*** What Application Development & Maintenance contributes to Cardinal Health
*** Information Technology oversees the effective development, delivery, and operation of computing and information services. This function anticipates, plans, and delivers Information Technology solutions and strategies that enable operations and drive business value.
Application Development & Maintenance performs configuration or coding to develop, enhance and sustain the organization's software systems in a cross-functional team environment through adherence to established design control processes and good engineering practices. This job family programs and configures end user applications, systems, databases and websites to achieve the organization's internal needs and externally-facing business needs. Application Development & Maintenance partners with business leaders, investigates user needs and conducts regular assessments, maintenance and enhancements of existing applications.

We are seeking a forward-thinking Workday AI Solutions Integration Consultant to lead the implementation, configuration, and optimization of Workday’s next-generation AI capabilities—specifically Workday Everywhere, Workday Assistant, and Workday Illuminate. This role combines AI innovation with Workday integration expertise to deliver smart, scalable, and secure workflows that enhance business operations. The specialist will drive user experience transformation, streamline HR workflows, and support enterprise-wide adoption of intelligent automation.
** Responsibilities
* ** Lead deployment of AI agents such as Recruiter Agent and Performance Review Agent.
* Design, build, and deploy custom AI agents using Workday’s low-code/no-code tools and the Workday Build platform.
* Configure anomaly detection, auto-filling, and contextual automation features across HR modules.
* Create AI-powered applications and widgets using Workday Extend to embed personalized AI assistance directly into user workflows.
* Enable and configure Workday Assistant across web and Microsoft Teams environments.
* Develop guided workflows for time-off requests, job changes, and employee inquiries.
* Monitor usage analytics and optimize conversational flows for accuracy and efficiency.
* Oversee integration of Workday Assistant into Microsoft Teams.
* Ensure seamless access to approvals, dashboards, and notifications within the flow of work.
* Coordinate with IT and HR administrators to manage app permissions and security protocols.
* Leverage Expanded AI Gateway APIs to embed Workday’s AI services into applications, including document intelligence for classification and data extraction.
* Automate and connect processes across Workday and third-party systems using AI-enabled Workday Orchestrate.
* Partner with HR, Finance, and other stakeholders to analyze requirements and translate business needs into technical designs for Illuminate solutions.
* Monitor Workday releases, especially Illuminate features and developer tools, to assess impact and recommend new functionality.
* Develop integrations and automations that uphold high standards for data integrity, security, and responsible AI practices.
* Provide technical support and root cause analysis for AI-driven processes, integrations, and extensions.
* Use Developer Copilot to automate the generation of code and process documentation.
** Qualifications
* ** Strong foundation of Workday experience with Extend apps, REST APIs and event-based integrations preferred
* Workday functional:
Understanding of HCM, Security, Business Process Framework (BPF), Reporting, configuration, tenant setup, and Workday governance preferred.
* Proven experience embedding AI agents onto enterprise platforms like Salesforce, Service Now, Microsoft, where agents take actions in workflows preferred.
* AI/Automation & Agent Model

Skills:

Understanding agent lifecycle, skill/tool models, workflow-to-agent mapping, data-driven automations, triggers, and execution modes. Ability to manage…