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About the Role

The Software and Platform Architecture Team is seeking a creative and highly skilled AI Lead Architect with expertise in AI governance and implementation. This role will establish, lead, and contribute to the evolution and governance of AI Architecture, bridging the gap between advanced AI technologies and practical business needs. You will design, build, and oversee the integration of scalable artificial intelligence systems, ensuring security, compliance, and alignment with enterprise objectives.

Responsibilities

Evaluate AI frameworks, platforms, and tools to recommend optimal build-versus-buy decisions.
Guide foundation model selection aligned with CBC's use cases and infrastructure capabilities.
Lead the architecture of AI applications using large language models (LLMs), machine learning, deep learning, and natural language processing (NLP).
Develop architectural roadmaps for deploying AI initiatives, including generative AI (GenAI), LLMs, and agentic business processes.
Lead the integration of scalable artificial intelligence systems, including machine learning pipelines and agentic AI workloads, ensuring security, compliance and alignment with overall enterprise objectives.
Monitor emerging AI technologies and assess their business value.
Establish architectural standards for model performance, traceability, data lineage, and privacy compliance.
Understand business requirements and identify AI use cases.
Integrate AI solutions with enterprise applications.
Craft prompts, evaluate outputs, and design automated end-to-end agentic workflows.
Continuously test and refine models to ensure reliability, scalability, and optimal performance in production.
Support continuous monitoring and governance of AI solutions post-deployment.
Lead technical discussions with stakeholders and development teams.
Work with business leaders to define desired outcomes, success metrics and value drivers for AI initiatives.
Collaborate with ethics and compliance teams to ensure AI initiatives adhere to regulatory requirements and CBC's governance standards.
Mentor technical teams on AI architecture best practices.

Requirements

A Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
3-5 years experience in software architecture, cloud architecture, data engineering, or AI solutions.
1-2 years of experience designing enterprise AI or machine learning solutions.
Experience delivering cloud-native AI solutions.
Vendor-specific certifications such as the Microsoft Certified: Agentic AI Business Solutions Architect or equivalent AWS/GCP architecture credentials are highly valued.
Deep understanding of Machine Learning (ML), Natural Language Processing (NLP), and AI application deployment using languages like Python or R.
Knowledge of AI governance frameworks and responsible AI practices.
Experience with data management systems and MLOps tools (e.g., Kubernetes, Git, model registries).
Exceptional stakeholder management, technical leadership, and ability to evangelize AI adoption internally.
Experience in media, broadcasting, or content distribution technology.
Familiarity with enterprise architecture frameworks (TOGAF, Zachman, etc.).
Executive communication and product management experience.
Prior work in regulated industries with compliance expertise.
Ability to multitask and deal with concurrent and/or conflicting priorities.
Analytical mind and open-minded approach to problem solving.
Self starter with strong ability to lead through influence.
Strong communication and coaching skills.
Creative and Innovative.
Excellent team player.
Ability to work with remote teams.
Bilingualism (English and French) is a strong asset.
Candidates may be subject to skills and knowledge testing.
A mandatory Criminal record check.
Other background checks may be conducted based on the operational requirements of the position.

Skills

AI governance
AI implementation
AI Architecture
Machine learning pipelines
Agentic AI workloads
Large language models (LLMs)
Machine learning
Deep learning
Natural language processing (NLP)
Generative AI (GenAI)
Agentic business processes
Model performance
Traceability
Data lineage
Privacy compliance
Python
R
Kubernetes
Git
Model registries
Stakeholder management
Technical leadership
TOGAF
Zachman

Location

Montreal, Quebec
Toronto
Ottawa

Work Type

Hybrid
Telework
Contractee Long-Term (Fixed Term)
Full time

Experience Level

3-5 years experience in software architecture, cloud architecture, data engineering, or AI solutions
1-2 years of experience designing enterprise AI or machine learning solutions

Education Level

Bachelor’s degree in Computer Science, Data Science, or a related field
Master’s degree in Computer Science, Data Science, or a related field

Benefits

Four weeks of vacation per year
Work from home opportunities
Competitive total rewards package
Opportunities to work with cutting edge technology
Opportunities for continued learning and professional development - including access to e-learning services, customized courses and certification opportunities
Opportunities to become a member of our Employee Resource Groups
A creative and dynamic work environment, where your ideas and contributions can be heard, valued and respected
A supportive management team committed to upholding the highest standards of diversity and inclusivity

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.