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 platformsCreate templates, API connectors, and standardized prompt patternsBuild internal tools, workflow automations, and front-endsImplement token monitoring, quotas,



and cost-observability dashboardsEmbed secure-by-design compliance into platform templatesRequirements:

Bachelor’s degree or equivalent practical rapid-delivery experienceMinimum six years developing applications, integrations, or workflowsStrong enterprise low-code platform and visual development experiencePractical AI assistants, prompt engineering, RAG, or agent-builder experienceUnderstanding of REST, OData, webhooks, and platform connectorsApply bilingual English and French platform-building expertise to AI solutions, reusable assets, and enterprise application delivery at CBC/Radio-Canada.

📌 Ai Platform Solutions Lead (Winnipeg)
🏢 Radio-Canada
📍 Winnipeg