Use Azure, Databricks, and Python to engineer secure AI applications with The Canada Life Assurance Company in Toronto, London, or Winnipeg.
This AI Developer role supports the AI delivery team through cloud-native engineering and enterprise integration. You will connect AI models, data capabilities, APIs, and services into complete business solutions. The position includes responsive interfaces, Python back ends, containerised deployments, automated testing, and operational documentation.
Key Responsibilities:
- Design applications from requirements, journeys, and business use cases
- Develop Python services, REST APIs, and data integrations
- Connect enterprise systems and approved AI platform services
- Support containerised deployments through production environments
- Document architecture, APIs, testing, and operational procedures
Requirements:
- Degree in a related discipline or equivalent practical experience
- Three or more years delivering production software applications
- Python and React or another modern front-end framework
- Experience with integrations, storage, modular design, and testing
- Cloud-native Microsoft Azure and Databricks engineering experience
Bring cloud-native engineering, API development, and Azure expertise to Canada Life's secure AI delivery work.
AI Application Engineer Azure Databricks in Toronto employer: Skillhub Solutions Inc.
Scotiabank is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to grow. As a Technical Lead in the GWMS Digital Client Services team, you will benefit from comprehensive professional development opportunities, competitive compensation, and a collaborative environment that values your contributions. Located in a vibrant city, Scotiabank offers unique advantages such as access to cutting-edge technology and a commitment to employee well-being, making it a rewarding place to advance your career.
