About this role
Safe Software is hiring a full-time remote Staff AI Engineer to design, build, and deploy production-grade artificial intelligence systems across the business. This hands-on position suits an experienced technologist with a strong background in software development and machine learning who wants to shape enterprise AI architectures.
Role Overview
Safe Software is seeking a Staff AI Engineer to own the complete lifecycle of artificial intelligence applications. Working within the AI Enablement department, this role focuses on creating shared capabilities, engineering standards, and robust platforms that help various departments adopt artificial intelligence effectively and securely. The professional in this position will handle everything from data preparation and model training to deployment, evaluation, and continuous improvement.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Safe Software is the creator of FME, an all-data, any-ai enterprise integration platform designed to connect data anywhere at any velocity. Founded in 1993 and headquartered in Surrey, BC, the organization features over 300 team members supporting more than 25,000 enterprise customers across 125 countries. Safe Software is an equal opportunity employer committed to fostering a diverse and inclusive workplace.
How to Apply
Interested candidates should visit the official Safe Software careers page to submit an application.
Skills and tech stack
Questions candidates ask
What is the salary range for the Staff AI Engineer role?
The annual salary for this position ranges from $147,000 to $167,000 CAD.
Is this position remote?
Yes, this is a remote position available Canada wide, excluding the province of Quebec.
How many years of experience are required?
Candidates must have at least 8 years of total experience across software engineering and AI/ML, including a minimum of 3 years building and operating production AI/ML systems at scale.
What core technical skills are needed?
Key skills include Python, Azure, RAG (Retrieval-Augmented Generation), Snowflake, and the ability to build end-to-end production AI and machine learning systems.
What benefits are provided from day one?
Employees receive extended health, dental, health or lifestyle spending, and counseling benefits starting on day one with no waiting period.
