Job Description

Salary: $122,100 - 162,800 per year Requirements:

• 10+ years of experience in solution architecture, enterprise architecture, software engineering, or a closely related technical field.
• Bachelors degree in Computer Science, Engineering, Information Systems, or a similar discipline, or equivalent professional experience.
• Demonstrated success designing enterprise-scale architectures for cloud-based, distributed, and integrated environments.
• Hands-on background in AI/ML architecture, operationalizing the AI/ML lifecycle, and production deployment approaches.
• Practical experience with cloud architecture; Microsoft Azure experience is required, and Azure AI Foundry is strongly preferred.
• Experience establishing and applying architecture governance, standards, and design review procedures.
• Strong understanding of APIs, event-driven integration, data architecture, security by design, and operational resilience.
• Ability to clearly present architecture choices, risks, and trade-offs to executive and cross-functional audiences.
• Familiarity with TOGAF, C4 model, ITIL 4, OWASP Top 10, or comparable enterprise architecture and security frameworks.
• Experience with multi-cloud environments, CI/CD, infrastructure as code, observability, backup/disaster recovery, and high-availability patterns.
• Background in data preparation, feature engineering, MLOps, model monitoring, and AI governance.
• Experience supporting regulated, complex, or large-scale enterprise environments.
• Track record of leading modernization initiatives, portfolio roadmaps, or M&A-related architecture integration.
• Experience influencing across domains and coaching architects or engineering teams.

• Design and approve end-to-end AI, data, and application architectures for enterprise platforms and high-impact initiatives.
• Lead the operationalization of the AI/ML lifecycle, including deployment readiness, observability, and continuous optimization.
• Define architecture standards, governance guardrails, and exception handling processes that support security, reliability, performance, compliance, and operability.
• Guide cloud-native and hybrid solution strategy across cloud platforms, with Azure AI Foundry as the preferred option.
• Direct data preparation and feature engineering approaches that enable scalable, production-ready AI solutions.
• Assess platforms, integration patterns, APIs, event-driven architectures, and data flows to align current systems with target-state roadmaps.
• Partner with product, engineering, security, and operations leaders to manage technical risk, speed delivery, and explain trade-offs to technical and non-technical stakeholders.
• Mentor architects and engineers while encouraging modern ways of working, continuous improvement, and enterprise systems thinking.

• AI
• Azure
• CI/CD
• Cloud
• Support
• ITIL
• MLOps
• OWASP
• Security
• TOGAF
• Architect
• LESS

More:

We are McKesson, an impact-driven Fortune 10 company that touches nearly every part of healthcare. We deliver insights, products, and services that help make quality care more accessible and affordable, and we are focused on the health, happiness, and well-being of our people and the communities we serve. We foster a culture where you can grow, make an impact, and bring new ideas as we shape the future of health for patients, our communities, and our teams. This role offers a competitive total rewards package, with a base pay range of $122,100 to $162,800, and may include additional compensation such as an annual bonus or long-term incentives. We are an equal opportunity employer and are committed to providing a respectful, inclusive workplace.

last updated 39 week of 2026

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