Principal AI Systems Engineer in Toronto

Principal AI Systems Engineer in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead the design and build of an AI-first studio platform for game production.
  • Company: Big Viking Games, a creative and innovative gaming company in Canada.
  • Benefits: Competitive salary, flexible work options, and opportunities for mentorship.
  • Other info: Join a dynamic team with a passion for creativity and innovation.
  • Why this job: Shape the future of gaming with cutting-edge AI technology and impactful workflows.
  • Qualifications: Proven experience in AI systems engineering and strong leadership skills.

The predicted salary is between 135000 - 165000 $ per year.

Big Viking Games in Canada is seeking a Principal Engineer, Agentic Products & Workflows to lead the design and build of the AI-first studio platform.

You will own the agentic platform end to end, including orchestration, memory, evaluation, and human review surfaces, ensuring production-grade reliability.

You will mentor engineers, shape patterns for tool use and fault handling, and partner with creative and live-ops teams to ship scalable AI-enabled game production workflows.

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Principal AI Systems Engineer in Toronto employer: WorkinGames

At Scopely, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our employees to innovate and thrive. As a Principal Systems Designer, you'll be part of a passionate team dedicated to creating engaging gaming experiences, with access to comprehensive benefits including unlimited paid time off, healthcare, and retirement plans. Our commitment to employee growth and collaboration ensures that you will have the opportunity to shape your career while contributing to globally recognized titles in a dynamic and supportive environment.

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Contact Details:

WorkinGames Recruitment Team

We think you need these skills to ace Principal AI Systems Engineer in Toronto

AI Systems Design
Platform Development
Orchestration
Memory Management
Evaluation Techniques
Human Review Processes
Production-Grade Reliability