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About the Role

As a key member of the Architecture and Strategic Development team, you will design and plan CBC/Radio-Canada’s future technology infrastructure, integrating hybrid agents, video understanding systems, and advanced artificial intelligence architectures. We are looking for an AI Architect with deep technical expertise in optimizing training and inference for large language models, multimodal models, and AI systems in a media context. You will design robust systems to make AI faster, more scalable, and more reliable, ensuring seamless integration into our critical production ecosystems.

Responsibilities

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, distributed training, 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.
Plan, develop, and architect the integration of AI solutions within CBC/Radio-Canada’s media production environments.
Evaluate and standardize integration protocols such as Model Context Protocol (MCP) and agent-to-agent (A2A) architectures.
Ensure absolute data security while developing video understanding systems that can interact with both file-based and IP live workflows.
Provide expert guidance on system efficiency, spearheading initiatives to dramatically improve architectural scalability, latency, and reliability.
Mentor and elevate the organization’s engineers and data scientists in large-scale ML system design and performance engineering.
Develop robust MLOps/LLMOps pipelines with a constant focus on observability, performance profiling, and automated testing.
Summarize and explain technological innovations to make them understandable to decision-makers and production teams and influence our strategic investments.

Requirements

Bachelor’s or master’s degree in software engineering, information technology, artificial intelligence, mathematics, or a related natural science field.
Functional bilingualism (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.
Demonstrated experience working with language models and designing solutions optimized for cost efficiency and scale.
Strong conceptual understanding of LLM, RAG, and AI agent architectures, including their frameworks and operational constraints.
Experience selecting AI framework architectures, cloud platforms, and orchestration tools for scalable enterprise AI solutions.
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, with the ability to produce diagrams, demos, and technical artifacts that make AI architectures understandable and actionable.
Hands-on technical experience working with media production platforms (MAM/PAM) and designing scalable solutions in a highly available, 24/7 environment.
Solid working knowledge of cloud technologies (AWS, Azure, or GCP), virtualization, networking, and storage.
Candidates may be subject to skills and knowledge testing.
Candidates who advance to the next step will be asked to complete a background check, including a mandatory Criminal record check.
Other background checks may be conducted based on the operational requirements of the position.

Skills

PyTorch
vLLM
DeepSpeed
Accelerate
KV caching architectures
quantization techniques
internal GPU clusters
distributed architectures
AWS
Azure
GCP
containers
Kubernetes
Open WebUI
MCP
A2A
LiteLLM
LangChain
LangGraph
Strands
SMPTE-2110 protocols
PAM/MAM (Avid Interplay, Dalet)
Adobe suite
media processing (audio/video codecs)
Langfuse
Weights & Biases (W&B)
MLflow
performance profiling tools
modern video software architectures (e.g., NVIDIA Holoscan for Media)
ultra-high-performance IP transfer protocols
complex workflows through cloud or hybrid data pipelines
active contributions to open-source high-performance AI projects
published research
deep understanding of security frameworks for responsible AI

Location

Montreal, Quebec

Work Type

Hybrid
Telework

Experience Level

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

Education Level

Bachelor’s or master’s degree in software engineering, information technology, artificial intelligence, mathematics or a related natural science field

About the Company

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.
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.
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.

Equal Opportunity

CBC/Radio-Canada is committed to being a leader in reflecting our country’s diversity.
That’s because we can only create and tell the stories that connect Canadians, by having a workforce that mirrors the ever-changing makeup of our country.
That’s why we, as an employer, value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada’s public broadcaster.
For more information, visit the Diversity and Inclusion section of our website.
If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by sending an e-mail to recruitment@cbc.ca.
You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our corporate website.
All employees must adhere to the Code as a condition of employment.
We also invite you to take a look at our policy on conflicts of interest.
In the event that you become an employee, it will be important to inform us, as quickly as possible, of any situation that, because of your hiring, constitutes or could appear to constitute a conflict of interest.