Senior AI & Cloud Architect

McKesson

AI & Cloud Architect at McKesson handling architecture design and delivery across pharmacy platforms and cloud infrastructure. Enabling scalable, secure, and modern solutions while advancing cloud adoption and AI capabilities.

Posted 7/7/2026full-timeIrving • Illinois, Texas • 🇺🇸 United StatesSenior💰 $151,700 - $252,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable architecture solutions on Microsoft Azure, with a strong focus on Infrastructure as Code (IaC) and AI integration to enhance pharmacy systems. Proven ability to drive automation and improve productivity through modern development practices and tools.

Highest-signal resume keywords

Microsoft Azure ArchitectureInfrastructure as Code (IaC)AI Tool ImplementationContinuous Integration and Continuous Delivery (CI/CD)Cloud Application Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud ArchitectureAI ToolsInfrastructure as Code (IaC)Microsoft AzureTerraformBicepARMCI/CD PipelinesAPI-Driven SystemsDistributed Architectures

Tools & Technologies

GitHub ActionsGitHub CopilotAnthropic ClaudeGoogle Gemini

Industry Keywords

Pharmacy SystemsAutomated Environment ProvisioningEnterpriseRxCloud ExperienceProduction-Grade Solutions

Tech Stack

Tools & technologies

AzureCloudTerraform

About the role

Key responsibilities & impact

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
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
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
Provide architecture support for EnterpriseRx and other MPS applications across design, development, and deployment.

Requirements

What you’ll need

Degree or equivalent 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.
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.

Benefits

Comp & perks

Competitive compensation package
Annual bonus or long-term incentive opportunities