Sr. AI & Cloud Architect

McKesson•Irving, TX

7d•Hybrid

About The Position

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.

Requirements

Degree or equivalent and typically requires 7+ years of relevant experience.
Bachelor’s degree in Computer Science, Information Systems, or related field preferred.
Master’s degree a plus
Degree or equivalent experience and typically requires 7 + years of relevant cloud experience
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
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.

Nice To Haves

Master’s degree a plus

Responsibilities

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 GitOps 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 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
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
Contribute to performance optimization, reliability, and continuous improvement efforts across environments
Participate in operational support and lifecycle management of deployed solutions
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