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Ai Platform Engineer Jobs in Quebec (NOW HIRING)

Doist

$180 - $260/hr

You'll lead high-performing engineering teams building the products that help customers gain insight, take action, and unlock the full value of Coveo's AI platform. If you're passionate about ...

Coveo

Director, Engineering- Command

Quebec, QC

You'll lead high-performing engineering teams building the products that help customers gain insight, take action, and unlock the full value of Coveo's AI platform. If you're passionate about ...

Xsolla

Lead AI/ML Engineer

Montreal, QC · On-site

CA$130K - CA$160K/yr

Collaborate with the Director of Data Platforms and product stakeholders to translate business ... For the Lead AI/ML Engineer we will conduct a background check that may include the following:

Scientific Games

$120 - $180/hr

... AI, or equivalent ML platformsExperience building internal developer portals, CLIs, or workflow SDKsStrong platform product thinking focused on usability, adoption, and DS productivitSG is an Equal ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Quebec

Ai Platform Engineer information

See Quebec salary details

$41K

$134.9K

$195K

How much do ai platform engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai platform engineer in Quebec is $134,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $157,500.00 per year, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

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

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Quebec as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $134,857 per year, or $64.8 per hour.

Director, Engineering- Command

Doist

On-site

$180 - $260/hr

Other

Posted 5 days ago

Job description

Drive the future of AI-powered operator experiences. As our Director of Engineering, Command, you'll define and execute Coveo's Command technology vision, making it the trusted operating layer for customers by driving innovation in insight, control, and AI workflows while scaling teams that create high-impact product experiences. You'll lead high-performing engineering teams building the products that help customers gain insight, take action, and unlock the full value of Coveo's AI platform. If you're passionate about combining strategic leadership with product-minded engineering, this is your opportunity to shape the future of AI-native operations. As our Director of Engineering, Command, you will: Lead and grow multiple engineering teams responsible for the Command product area, fostering a collaborative, innovative, and high-performing environment. Define and execute the technical vision and roadmap in partnership with Engineering and Product leadership, ensuring alignment with Coveo's long-term strategy. Drive the delivery of secure, scalable, and reliable software while continuously raising the bar for engineering quality, operational excellence, and customer value. Collaborate with directors and executive leaders across the organization to align people, technology, and priorities while enabling effective cross-functional execution. Champion product-minded engineering practices that empower teams to build intuitive operator experiences, AI-native workflows, and automation capabilities. Mentor and develop engineering leaders, cultivating a culture of ownership, continuous learning, and innovation.

Qualifications

Here is what will qualify you for the role:

  • 3+ years of experience leading managers within a software engineering organization developing Software as a Service (SaaS) products.
  • Experience leading customer-facing engineering teams that build solutions for enterprise customers.
  • Strong communication and stakeholder management skills, with the ability to influence technical and business leaders across the organization.
  • Demonstrated ability to balance strategic thinking with execution while leading complex, cross-functional initiatives.
What would make you stand out
  • A leadership philosophy centred on building empowered, high-performing teams that deliver meaningful business outcomes.
  • Experience leading globally distributed engineering organizations across multiple time zones.
  • Experience building and operating highly available cloud-based product platforms with a strong focus on reliability, security, and operational excellence.
  • A clear technical vision and the ability to influence organizational strategy while driving execution across multiple teams.

Do you think you can bring this role to life? You don\'t need to check every single box—passion goes a long way, and we appreciate that skillsets are transferable. Join the Coveolife! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

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