Specialist, AI

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Specialist, AI Mont Royal Job Summary The AI Specialist will be responsible for maintaining, evolving, and optimizing artificial intelligence solutions deployed on Google Cloud Platform (GCP), primarily based on large language models (LLMs). The role involves ensuring the performance, stability, and reliability of existing AI solutions, while actively contributing to their continuous improvement. Key Accountabilities • 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. Job Requirements • 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

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