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 setting.

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.

Minimum requirements: Degree or equivalent and typically requires 10+ years of relevant experience.

Less years required if has relevant Master’s or Doctorate qualifications.





Basic Requirements 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.

Experience influencing across domains and coaching architects or engineering teams.

Work Environment Hybrid role requiring 2 days per week in-office at either our Ville Saint-Laurent (QC) or Mississauga (ON) location.

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 Our Base Pay Range for this position $122,100 - $162,800 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 Cover

MyMeds 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: .

📌 Lead AI Architect (Mississauga)
🏢 MCD McKesson Canada Corporation / La Corporation McKesson Canada
📍 Mississauga