AI Architect (T & I) (Telework/Hybrid)
CBC/Radio-Canada1 day ago
Toronto, Canada +2 moreSenior
Responsibilities
- Design and build high-performance training and inference systems for LLMs and multimodal AI models.
- Optimize distributed training, high-throughput data pipelines, mixed precision, inference serving, KV caching, batching, quantization, and long-context processing.
- Design, right-size, and evolve internal GPU cluster infrastructure for large-scale AI workloads.
- Architect AI integrations across PAM, MAM, television, radio, studio, and media production environments.
- Evaluate and standardize MCP and A2A integration architectures for connecting AI systems with production platforms.
- Develop secure video understanding systems supporting file-based media workflows and SMPTE-2110 IP live workflows.
- Develop MLOps and LLMOps pipelines with observability, performance profiling, and automated testing.
- Provide technical leadership, mentor engineers and data scientists, and communicate AI architecture and technology strategy to decision-makers and production teams.
Requirements
- 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 is essential.
- At least five years of proven experience developing and deploying AI/ML solutions.
- At least eight years of experience building tools and platforms in a software engineering role.
- Experience with language models and designing solutions optimized for cost efficiency and scale.
- Strong understanding of LLM, RAG, and AI agent architectures, frameworks, and operational constraints.
- Experience selecting AI frameworks, cloud platforms, and orchestration tools for scalable enterprise AI solutions.
- Knowledge of ModelOps, AI engineering, DevOps, MLOps, and CI/CD practices.
- 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 and scalable, highly available 24/7 environments.
- Working knowledge of cloud technologies, virtualization, networking, and storage.
- Preferred qualifications include experience with NVIDIA Holoscan for Media or high-performance IP transfer protocols, complex cloud or hybrid data pipelines, open-source AI contributions, published research, or security frameworks for responsible AI.
- Candidates may be required to complete skills and knowledge testing and a criminal record check.
Benefits
- Full-time contractee long-term position with a fixed-term employment status.
- Hybrid work arrangement combining in-office and remote work, with details discussed according to departmental guidelines.
- Work location is 1000 Rue Papineau, Montreal, Quebec.
- English and French language use across Canada-wide communications.
Tech Stack
Categories
About CBC/Radio-Canada
CBC/Radio-Canada is Canada’s national public broadcaster, operating the CBC and Radio-Canada networks across radio, television, and digital platforms, including streaming apps like CBC Gem and ICI TOU.TV. It is a Crown corporation funded primarily by parliamentary appropriations, supplemented by advertising and subscriptions, serving audiences in English, French, and Indigenous languages. Founded in 1932 and headquartered in Toronto, it produces news, sports, and documentaries for audiences nationwide.