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 ResponsibilitiesArchitecture 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 RequirementDegree or equivalent and typically requires 7+ years of relevant experience.
EducationBachelor'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.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position$151,700 - $252,900
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
