Location : Burnaby, BC
Work Model : Hybrid (3 days onsite per week)
Compensation : $199,900 Per Year
We’re hiring a Senior Software Engineer (AI Platform) to join a team supporting a major Canadian gaming organization in the Vancouver area . This role sits at the core of how AI and machine learning are built, deployed, and scaled across live products.
If you enjoy working on platforms instead of one-off features, and you like solving hard infrastructure problems that unlock impact for many teams, this role is worth a look.
Why this role is different
This is not a game-feature engineering position. You’ll be part of the AI Platform team , responsible for the shared systems that power AI across the organization. Game teams, ML engineers, and data scientists rely on this platform to bring AI-driven experiences into production safely and reliably.
Your work enables real-time AI in live environments, at scale.
What you’ll be doing
- Building and evolving cloud-native AI platform services used across multiple teams
- Supporting the full AI lifecycle, including data ingestion, model deployment, real-time inference, and monitoring
- Owning production ML infrastructure with a focus on reliability, performance, and observability
- Partnering closely with ML engineers and game teams to operationalize models in live systems
- Improving CI / CD and automation for AI and ML workloads
- Contributing to architecture decisions that shape the long-term direction of the platform
- Mentoring engineers and helping set platform best practices
What makes this role stand out
Senior-level ownership of a core AI platform, not experimental projectsReal production systems supporting live, real-time environmentsWork that impacts multiple teams and products, not just one serviceCompetitive compensation at $199,900Hybrid schedule with 3 days onsite per week in Burnaby, BCA role at the intersection of software engineering, cloud systems, and applied AIWhat we’re looking for
Strong experience as a Software Engineer working on backend, platform, or infrastructure systemsHands-on experience with cloud platforms such as AWS, GCP, or AzureComfort building and operating distributed, production systemsExperience with containers, CI / CD pipelines, and observability toolingExposure to AI, ML, or data-driven systems in production environmentsA collaborative mindset and interest in technical ownership and mentorship$$199,900 Per Year annual salary.
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.