Open sales role
AI Productivity Solutions Engineer
Cardinalhealth · IND07
Posted 12 November 2026 · From Cardinalhealth's careers page, checked every morning.
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About the role
Company Overview
Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management.
Backed by nearly 100 years of experience, with more than 48,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500, America's Most Innovative Companies #51, 11 Best GCCs to work for in India, Fortune Sector Leaders: Health Care #5, with a $254 billion. of revenue in FY26.
About Cardinal Health International India (CHII)
This role is part of the Information Security function for Cardinal Health International India Pvt Ltd (CHII).
Cardinal Health International India (CHII) is part of the Cardinal Heath Global Technology and Business Services (GTBS) team. CHII leverages technology to offer scalable and healthcare solutions to enhance efficiency and improve quality of care across the value chain.
Our vision is to build a world class capability center that is an intersection of tech-innovation and learning, empowering our people to build solutions which will solve healthcare’s most complex challenges.
Position Summary
Provides advanced technical support, diagnostics, validation, and consulting for Microsoft 365 Copilot, Copilot Chat, enterprise search, Microsoft Graph-grounded experiences, and approved productivity AI integrations. The role operates below the architecture layer and focuses on product expertise, troubleshooting, supportability, pilots, repeatable diagnostic methods, and the development of approved skills and lightweight agents that improve the internal operations of AI Productivity & Collaboration Services.
Strategic Purpose
Make AI work reliably in Cardinal Health's productivity environment, and apply approved AI capabilities to improve the team's own service delivery. This role becomes a deep Microsoft Copilot product specialist and a succession feeder for broader platform architecture, while developing bounded, supportable skills and agents for internal team operations without duplicating the enterprise agent-development mandate of Enterprise Automation.
Primary Responsibilities
Serve as the advanced technical subject-matter expert for Microsoft 365 Copilot, Copilot Chat, Microsoft 365 search, Microsoft Graph grounding, and related productivity AI capabilities.
Troubleshoot complex issues involving licensing, identity, permissions, content access, search indexing, grounding behavior, tenant configuration, application context, and user experience.
Develop repeatable diagnostic methods, test plans, health checks, escalation packages, known-issue records, and technical runbooks.
Partner with Microsoft and internal platform teams on escalations, root-cause analysis, service incidents, product defects, and roadmap-related technical questions.
Validate new Copilot capabilities, configuration changes, and pilot implementations against architecture, security, privacy, supportability, and operational-readiness requirements.
Perform technical testing of grounded responses and search behavior, distinguishing platform, permission, indexing, retrieval, content-quality, and user-behavior causes.
Provide technical consulting on solution feasibility, licensing dependencies, integration boundaries, support models, and implementation risks.
Support build-to-run transition for approved productivity AI capabilities by documenting support procedures, monitoring needs, known limitations, and escalation paths.
Create scripts, reports, and diagnostic utilities using supported administrative interfaces, PowerShell, and Microsoft Graph where appropriate.
Mentor support and engineering staff on Copilot concepts, troubleshooting methods, responsible use, and escalation practices.
Design, configure, test, document, and maintain approved Copilot skills