2 months ago
Mississauga, CanadaStaff+
Base Salary
$122k - $163k/yr
Responsibilities
- Design and approve end-to-end AI, data, application, and enterprise architectures for scalable platforms and high-impact initiatives.
- Lead AI/ML lifecycle operationalization, including deployment readiness, observability, production deployment, and ongoing optimization.
- Define architecture standards, governance guardrails, design review processes, and exception procedures supporting security, reliability, performance, compliance, and operability.
- Guide cloud-native and hybrid solution strategy, with a focus on Microsoft Azure and Azure AI Foundry.
- Direct data preparation and feature engineering approaches for scalable, production-ready AI solutions.
- Evaluate platforms, APIs, integration patterns, event-driven architectures, and data flows against target-state roadmaps.
- Partner with product, engineering, security, operations, and business leaders to manage technical risk and communicate architecture trade-offs.
- Mentor architects and engineers while leading modernization initiatives, portfolio roadmaps, and architecture integration efforts.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
- 10+ years of experience in solution architecture, enterprise architecture, software engineering, or a related technical discipline.
- Relevant Master’s or Doctorate qualifications may reduce the required years of experience.
- 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 Microsoft Azure cloud architecture experience; Azure AI Foundry experience is 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.
- Experience with multi-cloud environments, observability, backup and disaster recovery, high-availability patterns, data preparation, feature engineering, MLOps, model monitoring, and AI governance is preferred.
- Experience with TOGAF, C4 model, ITIL 4, OWASP Top 10, or similar architecture and security frameworks is preferred.
- Experience in regulated, complex, or large-scale enterprise environments and a track record of influencing and coaching technical teams are preferred.
Benefits
- Competitive compensation package and McKesson Total Rewards offerings are provided, with potential annual bonus or long-term incentive opportunities.
- The position is part of a regulated enterprise environment with opportunities to influence modernization and enterprise AI strategy.
Tech Stack
Categories
About McKesson
McKesson is a public healthcare company that distributes pharmaceuticals and medical‑surgical supplies and provides pharmacy and provider technology and services. It sells to pharmacies, hospitals, health systems, and biopharma manufacturers through logistics, specialty and oncology support, pharmacy management, and healthcare IT/analytics offerings. Founded in 1833 and headquartered in Irving, Texas, it trades on the NYSE under the ticker MCK.