AI Architect; T & I); Telework/Hybrid
Montreal, Montréal, Province de Québec, Canada
Listed on 2026-09-04
-
IT/Tech
AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer
Location: Montreal
Position Title
AI Architect (T & I) (Telework/Hybrid)
Status of EmploymentPermanent
Language RequirementEnglish, French
Language SkillsEnglish (Reading - C
- Advanced), English (Speaking - C
- Advanced), English (Writing - B
- Intermediate), French (Reading - C
- Advanced), French (Speaking - C
- Advanced), French (Writing - B
- Intermediate)
At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance. Do you think you have the ability and drive to keep up with this exciting, ever‑changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.
Behind the scenes, but ahead of the curve: help us develop the next‑generation public service media organization. Technology & Infrastructure (T&I) is the backbone and the future‑forward arm of CBC/Radio-Canada. Our purpose is to constantly innovate to evolve and maintain the Corporation’s technology and infrastructure. We are the people that make stuff work. We make connections between media content, systems, people and places.
We are the space in between. A place with purpose. CBC/Radio-Canada has always been a highly regarded pioneer of media technology — not just in Canada but around the world. Today, we are transforming ourselves into a modern and agile public service media organization. Technology is the driving force, and we are the team making it happen.
This is a hybrid position with a mix of in‑office and remote work. Work arrangements will be discussed with hiring managers per departmental guidelines.
Your RoleIf you want to push the boundaries of media technology and are excited by the challenge of bridging creativity with cutting‑edge tech, this role is for you! As a key member of the Architecture and Strategic Development (Media System Architecture) team, you will design and plan CBC/Radio-Canada’s future technology infrastructure. Our mission is to transform our disparate media workflows by integrating hybrid agents, video understanding systems and advanced artificial intelligence architectures operating 24/7.
We are looking for an AI Architect with deep technical expertise in optimizing training and inference for large language models (LLMs), multimodal models and AI systems in a media context. As a technical thought leader, you will design robust systems to make AI faster, more scalable and more reliable, ensuring their seamless integration into our critical production ecosystems (PAM, MAM, studios).
- Optimizing Models, Inference and GPU Infrastructure
- Design and build high‑performance training and inference systems for LLMs and multimodal AI models.
- Optimize end‑to‑end training, including high throughput data pipelines (streaming, sharding, bucketing), distributed training (parallelism strategies) and mixed precision.
- Optimize inference and serving engines to guarantee minimum latency using KV caching design/management, batching, quantization and long‑context processing.
- Collaborate with the Technology & Infrastructure (T&I) team to design, right‑size and evolve our internal GPU cluster into a new‑generation infrastructure capable of supporting these massive workloads.
- Strategy, Architecture and Media Ecosystem
- Plan, develop and architect the integration of AI solutions within CBC/Radio-Canada’s media production environments (PAM, MAM, television and radio studios).
- Evaluate and standardize integration protocols such as Model Context Protocol (MCP) and agent‑to‑agent (A2A) architectures to interconnect our models with complex production platforms (Avid, Dalet, Adobe).
- Ensure absolute data security while developing video understanding systems that can interact with both file‑based workflows (codecs, wrappers) and IP live workflows (SMPTE‑2110).
- Technical Leadership, Mentoring and MLOps
- Provide expert guidance on system efficiency, spearheading initiatives to…
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