AI Lead Architect, Software and Platforms Architecture

Radio-Canada

AI Lead Architect advancing governed AI systems for CBC/Radio-Canada, Canada’s public broadcaster. Designing cloud-native ML, LLM, GenAI, and agentic workflows aligned with enterprise needs.

Posted 8/4/2026full-timeMontreal • 🇨🇦 CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI architecture, including the integration of scalable AI systems and machine learning pipelines, while ensuring compliance with governance frameworks. Proficient in evaluating AI frameworks and leading technical discussions to align AI solutions with business objectives.

Highest-signal resume keywords

AI Architecture LeadershipMachine Learning Solutions DesignCloud-Native AI Solutions DeliveryPython or R for AI DeploymentVendor-Specific AI Certifications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Framework EvaluationMachine LearningDeep LearningNatural Language ProcessingData Management SystemsMLOps ToolsModel Performance StandardsAI Use Case IdentificationAutomated Workflow DesignModel Testing and Refinement

Soft Skills

Stakeholder ManagementTechnical LeadershipExecutive CommunicationCoaching SkillsMultitasking Ability

Tools & Technologies

KubernetesGitModel RegistriesCloud PlatformsAI Governance Frameworks

Certifications & Qualifications

Microsoft Certified: Agentic AI Business Solutions ArchitectAWS Architecture CredentialsGCP Architecture Credentials

Industry Keywords

Media TechnologyBroadcastingContent DistributionEnterprise Architecture FrameworksRegulated Industries Compliance

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Evaluate AI frameworks, platforms, and tools to recommend build-versus-buy decisions
Guide foundation model selection aligned with CBC use cases and infrastructure capabilities
Lead architecture of AI applications using LLMs, machine learning, deep learning, and NLP
Develop architectural roadmaps for GenAI, LLM, and agentic business-process initiatives
Lead integration of scalable AI systems, ML pipelines, and agentic AI workloads
Monitor emerging AI technologies and assess business value
Establish standards for model performance, traceability, data lineage, and privacy compliance
Identify AI use cases from business requirements
Integrate AI solutions with enterprise applications
Craft prompts, evaluate outputs, and design automated end-to-end agentic workflows
Test and refine models for reliability, scalability, and production performance
Support post-deployment monitoring and governance
Lead technical discussions with stakeholders and development teams
Define outcomes, success metrics, and value drivers with business leaders
Collaborate with ethics and compliance teams on regulatory and governance adherence
Mentor technical teams on AI architecture best practices

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
3–5 years of experience in software architecture, cloud architecture, data engineering, or AI solutions
1–2 years of experience designing enterprise AI or machine learning solutions
Experience delivering cloud-native AI solutions
Vendor-specific certifications such as Microsoft Certified: Agentic AI Business Solutions Architect or equivalent AWS/GCP architecture credentials highly valued
Deep understanding of ML, NLP, and AI application deployment using Python or R
Knowledge of AI governance frameworks and responsible AI practices
Experience with data management systems and MLOps tools such as Kubernetes, Git, and model registries
Exceptional stakeholder management and technical leadership
Experience in media, broadcasting, or content distribution technology desired
Familiarity with TOGAF, Zachman, or other enterprise architecture frameworks desired
Executive communication and product management experience desired
Compliance expertise in regulated industries desired
Ability to multitask and manage concurrent or conflicting priorities
Strong communication and coaching skills
Ability to work with remote teams
Candidates may be subject to skills and knowledge testing
Mandatory criminal record check for candidates advancing in the process

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
A creative and dynamic work environment
Supportive management team committed to diversity and inclusivity