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AI Architect – T & I
Radio-Canada. Design and plan CBC/Radio-Canada’s future technology infrastructure .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing AI/ML solutions, including LLMs and multimodal AI models, while ensuring scalability and performance in media production environments. Proficient in developing MLOps pipelines and integrating AI frameworks with production platforms.
Highest-signal resume keywords
AI/ML Solution DevelopmentMLOps Pipeline DevelopmentExperience with TensorFlow, PyTorch, and Hugging FaceCloud Platform Experience (AWS, Azure, GCP)Media Production Platform Knowledge (MAM/PAM)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Model ArchitectureTraining Data Pipeline OptimizationDistributed TrainingMixed Precision InferenceQuantizationLong-Context ProcessingTechnical DocumentationScalable Solution DesignMachine Learning FundamentalsDeep Learning Fundamentals
Soft Skills
MentoringTechnical Communication
Tools & Technologies
DockerKubernetesCI/CD PipelinesVirtualizationNetworkingStorage
Industry Keywords
AI EngineeringModelOpsDevOpsMedia ProductionLanguage Models
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPyTorchTensorflow
About the role
Key responsibilities & impact- Design and plan CBC/Radio-Canada’s future technology infrastructure
- Design and build high-performance training and inference systems for LLMs and multimodal AI models
- Optimize training data pipelines, distributed training, mixed precision, inference engines, KV caching, batching, quantization and long-context processing
- Design, right-size and evolve the internal GPU cluster
- Architect AI integration within media production environments, including PAM, MAM, television and radio studios
- Evaluate and standardize integration protocols such as MCP and A2A
- Interconnect AI models with Avid, Dalet and Adobe production platforms
- Develop secure video understanding systems for file-based and IP live workflows
- Provide expert guidance to improve scalability, latency and reliability
- Mentor engineers and data scientists in large-scale ML system design and performance engineering
- Develop MLOps/LLMOps pipelines with observability, performance profiling and automated testing
- Explain technological innovations to decision-makers and production teams and influence strategic investments
Requirements
What you’ll need- Bachelor’s or master’s degree in software engineering, information technology, artificial intelligence, mathematics or a related natural science field
- Functional bilingualism in English and French essential for Canada-wide communications
- At least five years’ proven experience developing and deploying AI/ML solutions
- At least eight years’ experience building tools and platforms in a software engineering role
- Experience with language models and designing solutions optimized for cost efficiency and scale
- Strong conceptual understanding of LLM, RAG and AI agent architectures, including frameworks and operational constraints
- Experience selecting AI frameworks such as TensorFlow, PyTorch and Hugging Face
- Experience selecting cloud platforms such as Azure, AWS and GCP
- Experience with orchestration tools such as Docker and Kubernetes
- Knowledge of ModelOps, AI engineering, DevOps and MLOps practices, including CI/CD pipelines
- Solid understanding of machine learning and deep learning fundamentals
- Strong technical documentation skills, including diagrams, demos and technical artifacts
- Hands-on experience with media production platforms such as MAM/PAM
- Experience designing scalable solutions in highly available, 24/7 environments
- Working knowledge of AWS, Azure or GCP, virtualization, networking and storage
- 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- Inclusive workplace and equal opportunity employer
- Accommodation support during the recruitment process
- Employee Code of Conduct and conflict-of-interest policy guidance