ServiceNow AI Architect Job at MCKESSON, Canada

  • MCKESSON
  • Canada

Job Description

Salary: $99,100 - 132,100 per year Requirements:

  • We need 8+ years of experience in solution architecture, enterprise architecture, software engineering, enterprise applications, or technology consulting.
  • We require 5+ years of ServiceNow architecture experience leading enterprise-scale implementations.
  • Were looking for experience designing and delivering enterprise solutions across multiple business domains.
  • We need hands-on experience with ServiceNow AI capabilities such as Now Assist, AI Agents, Predictive Intelligence, Virtual Agent, or Workflow Data Fabric.
  • We expect strong knowledge of solution architecture, integration design, APIs, cloud technologies, and security principles.
  • We need experience communicating architecture strategy and technical decisions to both technical and business audiences.
  • We require a bachelors degree in Computer Science, Information Systems, Engineering, Information Technology, or equivalent experience.
  • Preferred: experience delivering Generative AI, Agentic AI, intelligent automation, or LLM-powered solutions.
  • Preferred: knowledge of AI governance, model oversight, responsible AI practices, and regulatory compliance.
  • Preferred: experience with ITSM, HRSD, CSM, Employee Center, App Engine, or other ServiceNow product suites.
  • Preferred: familiarity with TOGAF, enterprise architecture frameworks, and architecture governance practices.
  • Preferred: experience supporting cloud modernization, DevOps, CI/CD, Infrastructure as Code, and observability initiatives.
  • Preferred: ServiceNow certifications such as CSA, CIS, CAD, CTA, or AI-focused certifications.
  • Preferred: experience in healthcare, pharmaceutical, or other highly regulated industries.
  • Preferred: track record of leading innovation initiatives, proof-of-concepts, and enterprise transformation programs.
  • We need the ability to participate in meetings, workshops, and presentations virtually and in person.
  • We need the ability to perform the essential functions of the role with or without reasonable accommodation.
Responsibilities:
  • We lead the architecture strategy, standards, and roadmaps for ServiceNow AI and intelligent automation solutions.
  • We design scalable, enterprise-grade solutions using Now Assist, AI Agents, Workflow Data Fabric, and emerging AI capabilities.
  • We develop conceptual, logical, and solution architectures that support business transformation initiatives.
  • We partner with stakeholders, product teams, engineers, and enterprise architects to turn business needs into technical solutions.
  • We establish AI governance, security, compliance, and operational guardrails aligned with enterprise standards.
  • We guide implementation teams through architecture reviews, design decisions, integrations, and platform best practices.
  • We evaluate emerging technologies and identify opportunities to improve automation, productivity, and user experience.
  • We mentor architects and engineering teams while promoting modern architecture, cloud, DevOps, and AI adoption practices.
Technologies:
  • Agentic AI
  • AI
  • AI Agents
  • CI/CD
  • Cloud
  • DevOps
  • Fabric
  • Support
  • ITSM
  • LLM
  • Security
  • ServiceNow
  • TOGAF
  • Architect

More:

We are McKesson, a Fortune 10, impact-driven healthcare company that delivers insights, products, and services designed to make quality care more accessible and affordable. We foster a culture of growth, innovation, and purpose, and this senior role sits at the center of our enterprise AI strategy on the ServiceNow platform. We offer a competitive Total Rewards package, including base pay, potential bonus or long-term incentives, and benefits, with a listed base pay range of $99,100 to $132,100. We work in a flexible model with two days per week in the office, and hybrid or remote arrangements may be available depending on policy and business needs.

last updated 43 week of 2026

Job Tags

Full time, Work at office, Remote work, Flexible hours, 2 days per week

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