Senior AI Platform Developer

The Canada Life Assurance Company•Toronto, ON

1d•CA$80,400 - CA$130,400•Hybrid

About The Position

Canada Life has an ambition to apply human led AI to innovate, elevate customer service, and accelerate growth across the organization. Achieving this ambition requires a secure, scalable, and enterprise grade AI platform that enables teams to build, deploy, and operate AI solutions efficiently and responsibly. Reporting to the Director, AI Platform Engineering, the Senior AI Platform Developer plays a key role in designing, building, and operating the enterprise AI platform. This role is accountable for developing reusable AI capabilities, shared services, engineering patterns, and platform components that accelerate AI solution delivery while supporting security, reliability, observability, and compliance expectations. This role provides senior technical leadership, hands on engineering expertise, and mentorship to developers and delivery teams, without requiring formal people management accountability.

Requirements

Degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
5 or more years of software engineering experience, with strong hands on development capability.
3 or more years of experience developing AI, machine learning, advanced analytics, or Generative AI solutions.
Strong experience with Python, APIs, cloud native development, distributed systems, and modern software engineering practices.
Experience with Azure AI Foundry, Azure OpenAI, Databricks, vector databases, model serving platforms, or similar technologies.
Experience with DevOps, CI/CD, infrastructure as code, automated testing, and secure software delivery practices.
Understanding of AI observability, model evaluation, prompt evaluation, monitoring, and operational support practices.
Ability to translate architectural direction into practical, reusable engineering components.
Strong collaboration, communication, and problem solving skills in a matrixed environment.

Nice To Haves

Experience in financial services or another regulated industry is an asset.

Responsibilities

Design, develop, and maintain enterprise AI platform capabilities, services, and reusable technical components.
Build shared accelerators, APIs, SDKs, templates, and reference implementations that enable consistent AI solution delivery across the enterprise.
Implement platform capabilities for model integration, orchestration, retrieval augmented generation, prompt management, agent frameworks, and model lifecycle support.
Develop automation and CI/CD patterns for building, testing, deploying, and operating AI based solutions.
Support the integration of AI platforms with enterprise data, identity, security, monitoring, and infrastructure services.
Partner with AI solution delivery, architecture, security, cloud, infrastructure, and data teams to onboard and support priority AI use cases.
Implement observability, evaluation, telemetry, monitoring, and operational support patterns for AI solutions in production.
Contribute to AI engineering standards, platform roadmaps, technical documentation, and reusable design patterns.
Evaluate emerging AI technologies and recommend practical enhancements to enterprise platform capabilities.
Mentor developers and help raise engineering quality through code reviews, technical guidance, and hands on support.