Senior Workday AI Solutions Engineer

Cardinal Health; Boston (MA); On-site; USD 125,000 - 179,000; Full time

Benefits offered by this job

Medical, dental and vision

401k savings plan

HSA

Paid time off

Job summary

Cardinal Health is seeking a Workday AI Solutions Engineer to transform complex HCM needs into intuitive AI-enabled applications and automated workflows. You will work across HR and technology teams to evaluate opportunities, design Extend solutions, and implement secure integrations using REST/SOAP APIs and Workday tooling.

You will collaborate with HR leaders to translate business requirements into scalable, compliant software components, while promoting responsible AI practices and

Qualifications

• Hands-on experience designing, developing, deploying, and supporting Workday Extend applications in production environments.
• Strong understanding of Workday platform: configuration, security, reporting, data sources, and integration architecture.
• Experience with Workday integration technologies such as REST, SOAP, Workday Studio, EIBs, and Workday Orchestrate.

Responsibilities

• Identify, evaluate, and prioritize opportunities to improve HCM processes using Workday Extend and AI capabilities.
• Design, build, test, deploy, and support Workday Extend applications with intuitive employee experiences.
• Develop proofs of concept and iterate rapidly with stakeholders to production-ready solutions.

Skills

Workday Extend

AI capabilities in Workday

HCM domain knowledge

Requirements gathering

Communication with stakeholders

Tools

Workday Studio

REST & SOAP APIs

EIBs

Workday Orchestrate

Job description

Cardinal Health is seeking a Workday AI Solutions Engineer to transform complex HCM needs into intuitive AI-enabled applications and automated workflows. You will work across HR and technology teams to evaluate opportunities, design Extend solutions, and implement secure integrations using REST/SOAP APIs and Workday tooling.

You will collaborate with HR leaders to translate business requirements into scalable, compliant software components, while promoting responsible AI practices and