Sr. AI & Cloud Architect

McKesson is an impact‑driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well‑being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

The McKesson Pharmacy Systems (MPS) team is looking for an AI & Cloud Architect to support architecture design and delivery across pharmacy platforms, cloud infrastructure, and emerging AI capabilities. This role will focus on enabling scalable, secure, and modern solutions across Enterprise Rx and related pharmacy systems while advancing cloud adoption, automation, and AI‑driven experiences.

As part of MPS, you will contribute to modernization of core pharmacy systems and the evolution of an AI‑ready platform foundation, ensuring alignment with enterprise standards and supporting innovation across pharmacy operations.

• Translate business and product requirements into scalable architecture designs for pharmacy systems and platforms
• Support implementation of architecture strategy across cloud, AI, and application domains
• Contribute to roadmaps for platform modernization, cloud adoption, AI enablement, and automation

• Design and implement Azure‑based solutions supporting pharmacy platforms, including compute, networking, identity, and storage
• Drive adoption of Infrastructure as Code (IaC) using tools such as Terraform, Bicep, or ARM to standardize and automate environment provisioning
• Establish repeatable, automated patterns for standing up development, test, and production environments
• Ensure alignment with enterprise cloud governance, security, and landing zone standards
• Optimize reliability, scalability, and cost through cloud‑native design principles
• Implement Git Ops practices to enable declarative, version‑controlled infrastructure and application deployments with automated promotion across environments

• Support integration of AI capabilities into pharmacy systems to enhance workflows and customer experience
• Promote adoption of AI tools and capabilities across engineering, product, and business teams to improve productivity and decision‑making
• Assist in enabling intelligent application experiences using retrieval‑based architectures and contextual data access
• Focus on practical application of AI to improve user outcomes, operational efficiency, and customer engagement

• Provide architecture support for Enterprise Rx and other MPS applications across design, development, and deployment
• Promote domain‑oriented service architecture aligned to business capabilities, moving away from overly granular microservices
• Enable clear service boundaries, data ownership, and scalability through domain‑driven design principles
• Drive continuous integration and continuous delivery (CI/CD) practices using Git Hub Actions and modern Dev Ops tooling
• Enable automated testing, deployment pipelines, and release management practices
• Support Dev Sec Ops  integration to ensure secure and compliant delivery pipelines

• Apply enterprise architecture standards and ensure alignment with established governance practices
• Partner with teams to review and guide solution designs, ensuring consistency, scalability, and alignment with enterprise direction
• Ensure solutions meet regulatory, security, and compliance requirements specific to healthcare and pharmacy systems
• Support reuse, standardization, and optimization of Total Cost of Ownership (TCO) across platforms

• Support production readiness, monitoring, and observability of cloud and application solutions
• Ensure automation is embedded across infrastructure provisioning, deployment, and operational workflows
• Con…