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Service AI DevOps Engineer

Job in Mississauga, Ontario, Canada
Listing for: McKesson
Part Time position
Listed on 2026-09-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 138000 - 184000 CAD Yearly CAD 138000.00 184000.00 YEAR
Job Description & How to Apply Below
Position: Service Now AI DevOps 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.

Senior Service Now AI Engineer
About the Role

McKesson is seeking a Senior Service Now AI Engineer to deliver innovative AI-powered solutions that improve healthcare operations and employee experiences at enterprise scale. This role combines advanced software engineering, Service Now 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 Service Now 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 Service Now development experience.
  • Experience developing enterprise applications using JavaScript, Service Now 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 Dev Ops practices.
  • Experience in healthcare, regulated industries, or large enterprise environments.
  • Service Now 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.

Our…

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