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AI DevOps Engineer

McKesson

Hybrid
Mississauga, ON
Full-time
Senior
Staff
7+ yrs
$99k–$132kPosted 1w ago

Real job — pulled straight from McKesson’s careers page · Verified August 26, 2026 · No reposts.

Job description

McKesson is hiring a AI DevOps Engineer — a full-time, based in Mississauga, ON role ($99k–$132k). Apply directly on McKesson's careers page below.

Service Now AI DevOps Engineer

Location: CAN, ON, Mississauga

Remote Type: Hybrid

Time Type: Full time

Job Description

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.

Senior AI Engineer

About the Role

McKesson is seeking a Senior AI Engineer to deliver innovative AI-powered solutions that improve healthcare operations and employee experiences at enterprise scale. This role combines advanced software engineering, 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.

What You'll Do

  • Design, build, and deploy enterprise-scale 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.

Basic Requirements

  • 7+ years of experience in software engineering, application development, enterprise platforms, or automation technologies.
  • 4+ years of hands-on development experience.
  • Experience developing enterprise applications using JavaScript, 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.

Preferred Skills/Experience

  • 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.
  • certifications such as CSA, CAD, CIS, or AI-related certifications.
  • Experience leading technical initiatives, mentoring engineers, and influencing architectural decisions.

Travel, Work Location & Physical Requirements

  • 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.

Our Base Pay Range for this position

$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 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: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

 

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.

Join us at McKesson!

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Frequently asked questions

What is the salary for AI DevOps Engineer at McKesson?

The estimated salary range for AI DevOps Engineer at McKesson is $99,000 - $132,000 USD per year.

What skills are required for AI DevOps Engineer at McKesson?

The required skills for AI DevOps Engineer at McKesson include: JavaScript, REST, CI/CD, DevOps, Agile, Generative AI.

What is the seniority level for AI DevOps Engineer at McKesson?

AI DevOps Engineer at McKesson is a Senior / Staff level position.

How do I apply for AI DevOps Engineer at McKesson?

You can view the full description and apply for AI DevOps Engineer at McKesson on EchoJobs: https://echojobs.io/job/mckesson-service-now-ai-devops-engineer-nq4rg.