At a Glance
- Tasks: Design and build secure, user-friendly AI applications using cutting-edge technologies.
- Company: Join Canada Life Assurance Company, a leader in innovative AI solutions.
- Benefits: Enjoy competitive salary, health coverage, mental health support, and education reimbursement.
- Other info: Flexible hybrid work environment with great career growth opportunities.
- Why this job: Make a real impact by developing advanced AI applications that solve business challenges.
- Qualifications: Bachelor’s degree or equivalent experience, strong Python skills, and 3+ years in software development.
The predicted salary is between 85200 - 135200 $ per year.
- London, ON Full-time, Part-time CA$85,200 - CA$135,200 / year
- Employee Discounts
The Canada Life Assurance Company is hiring an AI Developer for its AI delivery team. This permanent role can be based in Toronto, London or Winnipeg and is listed as hybrid.
Role overview
Design and build secure, scalable, user-centred AI applications, connecting AI models and data capabilities to complete business solutions through front-end development, back-end services, APIs and enterprise integrations.
Responsibilities
- Translate business use cases, user journeys and requirements into AI application designs with business, data science and technology stakeholders.
- Build full-stack applications, responsive interfaces, Python back-end services, REST APIs, data integrations and enterprise connections.
- Develop generative AI, agentic, retrieval-augmented generation and intelligent document processing capabilities, including human review and source citations.
- Integrate approved cloud and AI platform services, and support containerised deployments across development, testing and production environments.
- Implement automated testing and design for security, privacy, responsible AI, performance, observability and operational support.
- Document architecture, APIs, testing and operational procedures; evaluate emerging tools and contribute reusable components and engineering guidance.
Qualifications
- Bachelor’s or master’s degree in a related discipline, or equivalent practical experience.
- At least three years of hands-on experience delivering production software applications.
- Strong Python skills and experience with a modern front-end framework such as React.
- Experience with API engineering, enterprise integrations, databases or storage, modular design, source control and automated testing.
- Practical cloud-native engineering experience with Microsoft Azure and Databricks, and hands-on experience integrating generative AI, LLM, retrieval or agentic capabilities.
Experience with Azure AI services, Databricks tools, agent frameworks, CI/CD or regulated industries is an asset.
Compensation and benefits
Base salary is $85,200–$135,200 per year.
- health and dental coverage
- mental health support
- pension and share ownership programs
- education reimbursement
- vacation and personal days
- employee discounts
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