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About the Role

Help develop the next-generation digital media experience by building, scaling, and leveraging the platform for AI-Augmented development. You will engineer reusable patterns and infrastructure components to enable rapid development across the organization.

Responsibilities

• Design, construct, and maintain foundational environments, guardrails, and pipelines for enterprise low-code and AI agent execution platforms.
• Create and publish core platform components, centralized templates, custom API connectors, and standardized prompt/agent patterns.
• Build and maintain high-velocity internal tools, workflow automations, and front-ends using enterprise LCAPs and native AI agent builders.
• Implement operational monitoring, quota management, and cost-observability dashboards to track token consumption and manage vendor spend.
• Collaborate with the AI Lead Architect to implement scalable models and with the Lead Analyst to deliver core platform capabilities.
• Establish seamless pipelines, version control boundaries, and extensibility patterns for data flow between low-code and traditional software engineering environments.
• Integrate 'Secure by Design' compliance into platform templates for default security.
• Act as the core technical anchor for the internal community of practice, documentation libraries, and developer starter kits.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience in rapid application delivery).
• Minimum of 6+ years of relevant experience developing applications, integrations, or workflows.
• Strong, demonstrable experience working with enterprise low-code application platforms (LCAPs) and visual development environments.
• Practical experience leveraging platform-embedded AI assistants, prompt engineering, context grounding (RAG), or autonomous agent builders.
• Solid understanding of API mechanics, including configuring REST/OData endpoints, webhooks, and standard platform connectors.
• Ability to look at a complex business requirement and objectively discern when to solve it with low-code/AI versus when to escalate it to traditional pro-code frameworks.
• Candidates may be subject to skills and knowledge testing.
• Background check, including a mandatory Criminal record check.

Skills

• Platform Proficiency
• AI & GenAI Literacy
• Integration Fundamentals
• Platform & Product Thinking
• Radical Agility
• Commercial & Cost Awareness
• Architectural Judgement
• Collaborative Communicator
• Bilingualism (English and French)

Location

• Montreal, Quebec, Canada
• Telework/Hybrid

Work Type

• Contractee Long-Term
• Hybrid
• Full time

Experience Level

• Minimum of 6+ years of relevant experience

Education Level

• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience)

Benefits

• Four weeks of vacation per year.
• Work from home opportunities.
• Competitive total rewards package.
• Opportunities to work with cutting edge technology.
• Opportunities for continued learning and professional development.
• Opportunities to become a member of Employee Resource Groups.
• A creative and dynamic work environment.
• A supportive management team.

About the Company

• At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms.
• Technology and Infrastructures (T&I) is the backbone and the future-forward arm of our organization.
• Enterprise Applications is transforming how we deliver value by introducing a brand-new practice centered on radical agility, leveraging cutting-edge generative AI tools, autonomous agent builders, and Low-Code/No-Code Application Platforms (LCAPs).

Equal Opportunity

• CBC/Radio-Canada is committed to being a leader in reflecting our country’s diversity.
• We value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada’s public broadcaster.
• If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by sending an e-mail to recruitment@cbc.ca.