Artificial Intelligence Paths
The Beacon AI Centres data centre in Chestermere will require a range of specialized occupations for both its construction and its ongoing operation. The project is anticipated to create more than 300 permanent, highly-skilled operational jobs.
Occupations for Operating an AI Data Centre
The following is a list of roles found necessary to maintain the constant uptime, high performance, security, and specialized needs of a facility focused on Artificial Intelligence and high-density computing. Note, this is not a list of current Beacon AI Centre planned positions, but rather a starting point for thinking about related learning paths that might help secure employment in this AI field.
- Data Centre Technicians: Day-to-day monitoring, maintenance, troubleshooting, and replacement of servers, networking gear, and other hardware.
- Network Engineers/Architects: Designing, implementing, and managing the high-speed, low-latency networking infrastructure essential for AI workloads.
- Cloud Operations Engineers: Managing the public, private, or hybrid cloud infrastructure used to run AI applications and services.
- Artificial Intelligence / Machine Learning Engineers: Roles focused on the specific AI hardware (like specialized GPUs and AI accelerators) and the software platforms running the artificial intelligence models.
- Database Administrators (DBAs): Managing the storage, security, and organization of the massive datasets required for AI training and operation.
- Security Analysts/Engineers: Protecting the physical and digital infrastructure from threats, which is critical due to the value of AI data and intellectual property.
If you are interested in learning more about these occupations and associated educational development paths, book an appointment with a Foundational Learning Pathway Advisor.
Photo by Myriam Jessier on Unsplash
