GCP AI & LLM Operations Specialist

Dollarama; Mount Royal; On-site; CAD 90,000 - 150,000; Full time

Job summary

Dollarama in Montreal seeks an AI Specialist to maintain, evolve, and optimize AI solutions deployed on Google Cloud Platform (GCP), focusing on LLM-based systems. You will ensure performance, stability, and reliability while driving continuous improvements across models and pipelines.

You will work with internal teams to implement optimizations, test changes, and advance the AI architecture for scalability, security, and robustness.

Qualifications

• Minimum of 5 years of experience as a specialist.
• Strong expertise in GCP.
• Experience with LLMs: fine tuning, prompt engineering, model versioning, evaluation.
• Proficiency in a programming language for model manipulation (e.g., Python).
• Knowledge of CI/CD tools (GitHub Actions, Cloud Build, etc.).
• Understanding of best practices in MLOps.
• Bachelor's or Master's degree in computer science, software engineering, artificial intelligence, or a related field.
• Hands on experience with AI/LLM projects.
• Ability to solve complex problems independently and in a structured manner.

Responsibilities

• Ensure the operational maintenance of AI solutions hosted on GCP.
• Monitor the performance of AI pipelines, models, and services.
• Manage regular updates of models, dependencies, and GCP environments.
• Perform tests to validate models and pipelines after each update.
• Propose and implement optimizations (e.g., fine tuning, prompt updates, pipeline adjustments).
• Contribute to the evolution of the AI architecture to improve scalability, security, and robustness.
• Support internal teams in the use and understanding of AI solutions.

Skills

GCP expertise

LLMs (fine tuning, prompt engineering)

Python

CI/CD tooling

MLOps

Problem solving

Education

Bachelor's or Master's in CS/SE/AI

Tools

GitHub Actions

Cloud Build

Job description

Dollarama in Montreal seeks an AI Specialist to maintain, evolve, and optimize AI solutions deployed on Google Cloud Platform (GCP), focusing on LLM-based systems. You will ensure performance, stability, and reliability while driving continuous improvements across models and pipelines.

You will work with internal teams to implement optimizations, test changes, and advance the AI architecture for scalability, security, and robustness.