AI Solutions Lead, Enterprise Applications

Radio-Canada

. Design, construct, and maintain foundational environments, guardrails, and pipelines for enterprise low-code and AI agent execution platforms .

Posted 11/6/2026contractMontreal • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise low-code application platforms (LCAPs) and AI agent execution, with a strong focus on building reusable components, operational monitoring, and compliance. Proficient in API mechanics and capable of translating complex technical concepts for diverse audiences.

Highest-signal resume keywords

Enterprise Low-Code Application Platforms (LCAPs)API Mechanics (REST/OData)Prompt EngineeringOperational MonitoringBilingual (English and French)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Application DevelopmentWorkflow AutomationAPI IntegrationToken Consumption MonitoringVersion ControlScalable Model ImplementationCost ObservabilityComponent OptimizationRapid Application DeliveryTechnical Documentation

Soft Skills

EmpathyCommunicationCollaborationSelf-Starter MindsetFocus on Reusability

Tools & Technologies

AI Agent BuildersVisual Development EnvironmentsCentralized TemplatesCustom API ConnectorsMonitoring Dashboards

Industry Keywords

Secure by Design ComplianceLow-Code DevelopmentAI AssistantsRapid MVP DeliveryInternal Builder Community

About the role

Key responsibilities & impact

Design, construct, and maintain foundational environments, guardrails, and pipelines for enterprise low-code and AI agent execution platforms
Create and publish reusable platform components, centralized templates, custom API connectors, and standardized prompt/agent patterns
Build and maintain internal tools, workflow automations, and front-ends using enterprise LCAPs and native AI agent builders
Collaborate with Business Analysts on rapid MVP delivery
Implement operational monitoring, quota management, and cost-observability dashboards for token consumption and vendor spend
Work with the AI Lead Architect to implement scalable models
Partner with Lead Analysts to deliver platform capabilities supporting corporate tools and adoption
Establish pipelines, version-control boundaries, and extensibility patterns connecting low-code and traditional software engineering environments
Embed Secure by Design compliance into platform templates
Support the internal builder community through documentation libraries, starter kits, and technical guidance

Requirements

What you’ll need

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 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 REST/OData endpoints, webhooks, and standard platform connectors
Passion for building and enabling other builders, with focus on reusability, documentation, and component optimization
Self-starter mindset focused on rapid time-to-value and prototyping
Familiarity with monitoring AI token spend, API credit limits, and platform execution costs
Ability to determine when to use low-code/AI versus traditional pro-code frameworks
Outstanding empathy and communication skills, including translating technical AI concepts to non-technical peers
Knowledge of both English and French
Candidates may be subject to skills and knowledge testing
Successful candidates must complete a mandatory criminal record check and potentially other background checks

Benefits

Comp & perks

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, including access to e-learning services, customized courses and certification opportunities
Opportunities to become a member of Employee Resource Groups
Creative and dynamic work environment
Supportive management team committed to diversity and inclusivity