Enterprise AI Architect - Cloud, Governance & MLOps

McKesson; United States; On-site; USD 122,000 - 163,000; Full time

Job summary

McKesson seeks a Lead AI Architect to define enterprise-grade AI and data architectures for mission-critical platforms. You will translate business strategy into scalable designs, approve end-to-end AI architectures, and help teams operationalize AI/ML securely and responsibly.

You will partner with product, engineering, security, and operations leaders to shape target-state roadmaps, drive governance, and ensure regulatory compliance.

Qualifications

• 10+ years of experience in solution or enterprise architecture.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
• Proven experience designing enterprise-scale architectures for cloud-based, distributed, and integrated systems.
• Demonstrated experience with AI/ML architecture, lifecycle operationalization, and production deployment patterns.
• Hands-on knowledge of cloud architecture; experience with Microsoft Azure required, with Azure AI Foundry strongly preferred.
• Experience defining and enforcing architecture governance, standards, and design review processes.
• Ability to communicate architecture decisions, risks, and trade-offs clearly to executive and cross-functional audiences.

Responsibilities

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

Skills

AI Architecture

Cloud Architecture

Stakeholder Communication

Mentoring

Azure Cloud

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

Microsoft Azure

Azure AI Foundry

APIs

CI/CD tooling

Job description

McKesson seeks a Lead AI Architect to define enterprise-grade AI and data architectures for mission-critical platforms. You will translate business strategy into scalable designs, approve end-to-end AI architectures, and help teams operationalize AI/ML securely and responsibly.

You will partner with product, engineering, security, and operations leaders to shape target-state roadmaps, drive governance, and ensure regulatory compliance.