Lead AI Architect

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. We are seeking a Lead AI Architect to define and guide enterprise-grade architecture for AI-enabled, mission-critical products and platforms. In this role, you will translate business strategy into scalable solution designs, approve end-to-end AI architectures, and help teams operationalize AI/ML capabilities securely and responsibly. You will partner across engineering, data, security, and business teams to shape target-state architecture, simplify the technology landscape, and deliver measurable outcomes in a regulated enterprise environment. What You’ll Do 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.

Degree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master’s or Doctorate qualifications.

10+ years of experience in solution architecture, enterprise architecture, software engineering, or a related technical discipline. 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, AI/ML 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. Strong knowledge of APIs, event-driven integration, data architecture, security-by-design, and operational resilience. Ability to communicate architecture decisions, risks, and trade-offs clearly to executive and cross-functional audiences. Preferred Skills / Experience Experience with TOGAF, C4 model, ITIL 4, OWASP Top 10, or similar 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.