Build AI-augmented development platforms at CBC/Radio-Canada using enterprise low-code application platforms, AI agents, and reusable infrastructure components.
As AI Solutions Lead, Enterprise Applications, you will build, scale, and maintain platform capabilities for rapid internal application delivery. You will work with the AI Lead Architect and Lead Analysts to create reusable assets, automated workflows, and governance features. This full time contract role supports hybrid work from Montreal.
Key Responsibilities: Design foundational environments, guardrails, and pipelines for LCAP and AI platforms
Create templates, API connectors, and standardized prompt patterns
Build internal tools, workflow automations, and front-ends
Implement token monitoring, quotas, and cost-observability dashboards




Embed secure-by-design compliance into platform templates
Requirements: Bachelor’s degree or equivalent practical rapid-delivery experience
Minimum six years developing applications, integrations, or workflows
Strong enterprise low-code platform and visual development experience
Practical AI assistants, prompt engineering, RAG, or agent-builder experience
Understanding of REST, OData, webhooks, and platform connectors
Apply bilingual English and French platform-building expertise to AI solutions, reusable assets, and enterprise application delivery at CBC/Radio-Canada.

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📌 AI Platform Solutions Lead (Quebec City)
🏢 Radio-Canada
📍 Quebec City