AI Architect (T & I) (TeleworkHybrid)

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Work at CBC/Radio-Canada

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.

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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 Corporations 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 Role

If 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-Canadas 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).

Your Responsibilities

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-Canadas 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 (SMPTE2110).

Technical Leadership Mentoring and MLOps

• Provide expert guidance on system efficiency spearheading initiatives to dramatically improve architectural scalability latency and reliability.
• Mentor and elevate the organizations 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.

Featured Technology Environment

• Inference Modelling and Optimization: PyTorch vLLM DeepSpeed Accelerate KV caching architectures quantization techniques.
• Infrastructure Cloud and Compute: internal GPU clusters distributed architectures AWS Azure GCP containers Kubernetes.
• Orchestration and Agents: Open WebUI integration protocols (MCP A2A) LiteLLM LangChain LangGraph Strands.
• Media Production: SMPTE-2110 protocols PAM/MAM (Avid Interplay Dalet) Adobe suite media processing (audio/video codecs).
• MLOps and Observability: Langfuse Weights & Biases (W&B) MLflow performance profiling tools.

Minimum Qualifications

• Bachelors or masters 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 (e.g. TensorFlow PyTorch Hugging Face) cloud platforms (Azure AWS GCP) and orchestration tools (Docker Kubernetes) 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.

Nice-to-Have Skills (Assets)

• Experience with modern video software architectures (e.g. NVIDIA Holoscan for Media) or ultra-high-performance IP transfer protocols.
• Demonstrated experience managing complex workflows through cloud or hybrid data pipelines.
• Active contributions to open-source high-performance AI projects and published research or deep understanding of security frameworks for responsible AI.

Candidates may be subject to skills and knowledge testing.

We thank all applicants for their interest but only candidates selected for an interview will be contacted.

As part of our recruitment process candidates who advance to the next

step will be asked to complete a background check. This includes:

• A mandatory Criminal record check.

• Other background checks may be conducted based on the operational requirements of the position.

CBC/Radio-Canada is committed to being a leader in reflecting our countrys diversity. Thats 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. Thats 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 Canadas 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 .

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 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.

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