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Ai Devops Engineer Jobs in Ontario (NOW HIRING)

Service Now AI DevOps Engineer

Mississauga, ON · On-site +1

CA$99K - CA$132K/yr

Senior ServiceNow AI Engineer About the Role McKesson is seeking a Senior ServiceNow AI Engineer to deliver innovative AI-powered solutions that improve healthcare operations and employee experiences ...

New

Service Now AI DevOps Engineer

Mississauga, ON · On-site +1

CA$99K - CA$132K/yr

Senior ServiceNow AI Engineer About the Role McKesson is seeking a Senior ServiceNow AI Engineer to deliver innovative AI-powered solutions that improve healthcare operations and employee experiences ...

New

AI/ML DevOps Engineer

Toronto, ON

CA$69K - CA$119K/yr

  • Medical

  • Life

  • Retirement

  • PTO

CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by building ...

You'll play a key role in scaling AI models from research to production - ensuring smooth ... DevOps experts to automate workflows, enhance performance, and keep our AI systems running ...

We work at the frontier of AI, tackling big, real-world problems for global enterprises across ... About the role We are looking for a Platform DevOps Engineer to help design, build, and operate the ...

DevOps Engineer

Toronto, ON · Remote

  • Medical

  • Life

  • Retirement

The Role We're seeking a DevOps Engineer with strong Azure cloud and DevOps expertise to support ... This includes using AI-enabled features within LinkedIn to help source potential candidates ...

Cloud DevOps Engineer (Hybrid) Ottawa, ON | Hybrid (3 Days Onsite - Tue to Thu) Start Date: 12 ... AI-Assisted Operations * Use AI copilots for troubleshooting and diagnostics * Build automated ...

DevOps Engineer

Ottawa, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced DevOps Engineer role for our client. This is a permanent position, that can either be remote or in-office at Toronto! Our client is a large technology firm with a ...

DevOps Engineer

Kitchener, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced DevOps Engineer role for our client. This is a permanent position, that can either be remote or in-office at Toronto! Our client is a large technology firm with a ...

DevOps Engineer

Waterloo, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced DevOps Engineer role for our client. This is a permanent position, that can either be remote or in-office at Toronto! Our client is a large technology firm with a ...

DevOps Engineer

Waterloo, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced DevOps Engineer role for our client. This is a permanent position, that can either be remote or in-office at Toronto! Our client is a large technology firm with a ...

DevOps Engineer

Kitchener, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced DevOps Engineer role for our client. This is a permanent position, that can either be remote or in-office at Toronto! Our client is a large technology firm with a ...

DevOps Engineer

Ottawa, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced DevOps Engineer role for our client. This is a permanent position, that can either be remote or in-office at Toronto! Our client is a large technology firm with a ...

Our team is looking for a DevOps engineer with at least 6 years cloud and Kubernetes experience including specialization in ArgoCD. Our project involves building automations for a greenfield managed ...

Senior DevOps Engineer

Kanata, ON · On-site

CA$115K - CA$140K/yr

Enterprise AI is moving from pilots to production, and the constraint is no longer the model -- it ... What You'll Do As a Senior DevOps Engineer, you'll take ownership of critical platform capabilities ...

Senior DevOps Engineer

Kanata, ON · On-site +1

CA$115K - CA$140K/yr

Enterprise AI is moving from pilots to production, and the constraint is no longer the model - it ... What You'll Do As a Senior DevOps Engineer, you'll take ownership of critical platform capabilities ...

DevOps Engineer

Waterloo, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced DevOps/SRE Engineer for our client. This is a permanent position, that can either be remote or in-office at Toronto! Our client is a large fintech firm with a ...

DevOps EngineerAbout the Role We are seeking a DevOps Engineer to join a technology team responsible for the reliability, automation, and continuous delivery of a critical enterprise platform. This ...

DevOps Engineer

Waterloo, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced DevOps/SRE Engineer for our client. This is a permanent position, that can either be remote or in-office at Toronto! Our client is a large fintech firm with a ...

DevOps Engineer

Ottawa, ON · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for an experienced DevOps/SRE Engineer for our client. This is a permanent position, that can either be remote or in-office at Toronto! Our client is a large fintech firm with a ...

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Ai Devops Engineer information

What are the key skills and qualifications needed to thrive as an AI DevOps engineer?

To thrive as an AI DevOps Engineer, you need expertise in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD systems, version control (e.g., Git), and cloud platforms (AWS, Azure, GCP), as well as certifications such as AWS Certified DevOps Engineer, are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project requirements. These competencies are essential to ensure robust, scalable, and efficient deployment of AI solutions in production environments.

What is an AI DevOps engineer?

AI DevOps Engineers are professionals who blend expertise in artificial intelligence (AI) and DevOps practices to streamline the development, deployment, and maintenance of AI-powered applications. They automate and manage the continuous integration and continuous deployment (CI/CD) pipelines for machine learning models, ensuring scalability, reliability, and efficiency in production environments. Their role also includes monitoring AI systems, managing model versions, and collaborating with data scientists, software engineers, and IT teams to bridge the gap between development and operations. This position is crucial for organizations looking to operationalize AI solutions at scale.

How does an AI DevOps engineer typically collaborate with data scientists and software engineers on AI projects?

An AI DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by streamlining the deployment and monitoring of AI models. They often work closely with data scientists to automate model training, testing, and deployment pipelines, ensuring that models move smoothly from development to production. Additionally, they collaborate with software engineers to integrate models into scalable applications, manage infrastructure, and set up monitoring systems to track performance and reliability. This role requires strong communication skills and a proactive approach to troubleshooting issues that arise in cross-functional teams.

What is the difference between Ai Devops Engineer vs Data Engineer?

AspectAi Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, DevOps tools, AI/ML frameworksCertifications in data management, SQL, cloud platforms
Work EnvironmentCollaborates with AI/ML teams, DevOps, cloud infrastructureWorks with data pipelines, databases, big data tools
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, data-driven industries

Ai Devops Engineers focus on deploying and maintaining AI/ML models in production using DevOps practices, while Data Engineers build and manage data pipelines and infrastructure. Both roles require cloud and scripting skills but serve different stages of data and AI workflows.

What are popular job titles related to Ai Devops Engineer jobs in Ontario?

For Ai Devops Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Ai Devops Engineer jobs in Ontario look for?

The top searched job categories for Ai Devops Engineer jobs in Ontario are:

Infographic showing various Ai Devops Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Service Now AI DevOps Engineer

McKesson

Mississauga, ON • On-site, Remote

CA$99K - CA$132K/yr

Full-time

Posted 3 days ago

New


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


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 ServiceNow AI EngineerAbout the Role

McKesson is seeking a Senior ServiceNow AI Engineer 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.

What You'll Do
  • 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.
Basic Requirements
  • 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.
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.
  • ServiceNow 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, pleaseclick 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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