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 EnterpriseRx 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. 

Key Responsibilities

Architecture Design & Execution (10% to start but increases 25%) 

• 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 

Cloud & Infrastructure (10-15% to start but increases to 25%) 

• 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 GitOps practices to enable declarative, version-controlled infrastructure and application deployments with automated promotion across environments 

AI & Platform Enablement (60% to start but drops down in 6 months to 25%) 

• 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 

Application Architecture & Modernization (20% to start but drops down to 25%) 

• Provide architecture support for EnterpriseRx 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 GitHub Actions and modern DevOps tooling 

• Enable automated testing, deployment pipelines, and release management practices 

• Support DevSecOps integration to ensure secure and compliant delivery pipelines 

Governance, Security, and Compliance (Considered in all things worked on) 

• 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 

Operational Excellence (Ad-hoc) 

• Support production readiness, monitoring, and observability of cloud and application solutions 

• Ensure automation is embedded across infrastructure provisioning, deployment, and operational workflows 

• Contribute to performance optimization, reliability, and continuous improvement efforts across environments 

• Participate in operational support and lifecycle management of deployed solutions 

Collaboration & Enablement (Organizational Agility, Networking, and Team Building as part of our culture) 

• Partner with engineering, product, and platform teams to deliver architecture-aligned solutions 

• Provide guidance and hands-on support to development teams adopting cloud and AI capabilities 

• Contribute to reusable patterns, templates, and best practices 

Minimum Requirement

Degree or equivalent and typically requires 7+ years of relevant experience.

Education 

Bachelor’s degree in Computer Science, Information Systems, or related field preferred.  Master’s degree a plus 

Critical Skills

• Degree or equivalent experience and typically requires 7+ years of relevant cloud experience and 1+ years of hands-on experience with AI tools (e.g., GitHub Copilot, Anthropic Claude, Google Gemini, or similar) 

• 7+ years of experience in cloud, application, or platform architecture with a strong track record of delivering production-grade solutions  

• Deep hands-on experience designing and implementing solutions on Microsoft Azure, including compute, networking, identity, and security  

• Proven experience implementing Infrastructure as Code (IaC) and automated environment provisioning at scale (e.g., Terraform, Bicep, ARM)  

• Strong experience building and operating continuous integration and continuous delivery (CI/CD) pipelines using modern tooling such as GitHub Actions  

• Demonstrated ability to design and evolve modern application architectures, including domain-oriented service design, API-driven systems, and distributed architectures  

• Experience driving automation across the full software development lifecycle, including environment setup, testing, deployment, and operations  

• Hands-on experience applying artificial intelligence tools (e.g., GitHub Copilot, Claude, Gemini) to improve developer productivity and accelerate delivery 

This position offers the possibility of a hybrid work arrangement based on recent updates to our in-office/work‑from‑home model.  If located in DFW area, the selected candidate may be expected to work on‑site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in‑office days may be designated according to team needs and business priorities.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.

If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position