Remote-Eligible ServiceNow AI Architect

McKesson’s Corporate

Mississauga

Hybrid

CAD 138,000 - 183,000

Full time

10 days ago

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Job summary

McKesson is seeking a ServiceNow AI Solution Architect to lead the design, governance, and delivery of enterprise-scale AI-enabled solutions on the ServiceNow platform. You will define architecture standards, drive AI strategy, and partner with business and technology leaders to deliver secure, scalable, and intelligent solutions that improve employee experiences and automate workflows.

As a senior technical leader, you will shape the future of ServiceNow AI capabilities across enterprise

Qualifications

8+ years of experience in solution architecture, enterprise architecture, software engineering, enterprise applications, or technology consulting.
5+ years of ServiceNow architecture experience leading enterprise-scale implementations.
Experience designing and delivering enterprise solutions across multiple business domains.
Hands-on experience with ServiceNow AI capabilities such as Now Assist, AI Agents, Predictive Intelligence, Virtual Agent, or Workflow Data Fabric.
Strong knowledge of solution architecture, integration design, APIs, cloud technologies, and security principles.
Experience communicating architecture strategy and technical decisions to both technical and business audiences.
Bachelor's degree in Computer Science, Information Systems, Engineering, Information Technology, or equivalent experience.

Responsibilities

Lead architecture strategy, standards, and roadmaps for ServiceNow AI and intelligent automation solutions.
Design scalable, enterprise-grade solutions leveraging Now Assist, AI Agents, Workflow Data Fabric, and emerging AI capabilities.
Develop conceptual, logical, and solution architectures supporting business transformation initiatives.
Partner with stakeholders, product teams, engineers, and enterprise architects to translate business needs into technical solutions.
Establish AI governance, security, compliance, and operational guardrails aligned with enterprise standards.
Guide implementation teams through architecture reviews, design decisions, integrations, and platform best practices.
Evaluate emerging technologies and identify opportunities to improve automation, productivity, and user experiences.
Mentor architects and engineering teams while promoting modern architecture, cloud, DevOps, and AI adoption practices.