9d ago
New

Service Now AI DevOps Specialist

CanadaCanada·Mississaugamid
EngineeringDevops Engineer
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Quick Summary

Overview

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products,

Technical Tools
EngineeringDevops Engineer

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.


About the Role

~1 min read

McKesson is seeking a Senior ServiceNow AI Specialist to deliver innovative AI-powered solutions that improve healthcare operations and employee experiences at enterprise scale. This role combines advanced software engineering, ServiceNow platform expertise, intelligent automation, and cloud-native development to implement secure, scalable, and high-performing solutions. You will work closely with product, architecture, security, and engineering teams to build AI-enabled workflows, modern integrations, and automation capabilities that drive measurable business outcomes.


Responsibilities

~1 min read
  • →Design, build, and deploy enterprise-scale ServiceNow and AI-powered solutions.
  • →Develop intelligent workflows using AI Agents, Now Assist, Virtual Agent, and automation capabilities.
  • →Build and maintain REST APIs, integrations, and reusable platform services.
  • →Translate solution designs into secure, scalable, production-ready implementations.
  • →Drive cloud-native, API-first, and automation-focused engineering practices.
  • →Support CI/CD pipelines, testing automation, platform reliability, and operational excellence.
  • →Troubleshoot complex technical issues and implement long-term solutions.
  • →Mentor engineers and contribute to engineering standards, best practices, and innovation initiatives.

Requirements

~2 min read
  • 7+ years of experience in software engineering, application development, enterprise platforms, or automation technologies.
  • 4+ years of hands-on ServiceNow development experience.
  • Experience developing enterprise applications using JavaScript, ServiceNow scripting, APIs, and integration technologies.
  • Experience implementing AI-enabled, automation, workflow, or intelligent platform solutions.
  • Experience building and supporting REST APIs, web services, and enterprise integrations.
  • Experience working in Agile software development environments.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience.

  • Primarily remote or hybrid work environment based on business needs.
  • Occasional travel for team collaboration, planning activities, or stakeholder engagement.
  • Ability to work at a computer for extended periods and participate in virtual meeting

​Working Conditions:

  • In office requirement, we are Flex and Connect with 2 days a week in office

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 click here.

Nice to Have

~1 min read
  • Experience with Generative AI, Agentic AI, AI Agents, and AI workflow orchestration.
  • Experience with Now Assist, AI Agent Studio, Predictive Intelligence, Workflow Data Fabric, or Virtual Agent.
  • Experience with Azure OpenAI, Microsoft Copilot, enterprise AI platforms, or large language models (LLMs).
  • Knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, and conversational AI.
  • Experience with cloud-native architectures, CI/CD, automated testing, and DevOps practices.
  • Experience in healthcare, regulated industries, or large enterprise environments.
  • ServiceNow certifications such as CSA, CAD, CIS, or AI-related certifications.
  • Experience leading technical initiatives, mentoring engineers, and influencing architectural decisions.

$99,100 - $132,100

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 CoverMyMeds 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 provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

 

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Location & Eligibility

Where is the job
Mississauga, Canada
On-site at the office
Who can apply
CA

Listing Details

Posted
October 2, 2026
First seen
October 11, 2026
Last seen
October 11, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
28%
Scored at
October 11, 2026

Signal breakdown

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Service Now AI DevOps Specialist