AI Engineer - Enterprise AI

Context

This role sits within a leading pharmaceutical company's AI Workflow accelerator, a strategic cross-functional team deploying AI agents at enterprise scale to transform how employees work with internal tools. You will design, industrialize, and ship agentic AI solutions into production, working hands-on across the full data and model lifecycle.

Missions

• Develop and industrialize AI agents, from prototype to production-grade systems.

• Deploy AI solutions into production with strong reliability and operational standards.

• Own feature engineering, context engineering, and prompt engineering.

• Manage the full data lifecycle supporting the agentic workflows.

• Ensure data quality and sound data governance across the platform.

Tools & Environment

• Strong command of Snowflake.

• Solid experience with AWS, in particular serverless services and Bedrock.

• Working knowledge of dbt and Airflow.

• Agentic AI expertise.

• Proven experience building and deploying AI agents.

Working Conditions

• Location: Toronto.

• On-site presence: 3 days per week (hybrid).

1. Minimum 5 years of experience

2. Strong command of Snowflake, solid experience with AWS, in particular serverless services and Bedrock.

3. Working knowledge of dbt and Airflow.

4. Engineer able to industrialize and ship to production, hands-on

5. Proven experience building and deploying AI agents.

6. Fluent English