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.

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