Full-Time Senior AI Engineer, Business Intelligence
Job Description
Why is this role important?
The Business Intelligence (BI) team’s data engineers are strategic partners and catalysts, providing data-as-a-service to support product, content, and operational decision-making across the organization. To support our expanding AI practice, we are seeking a Senior AI Engineer to scale the robust data foundations required for GenAI initiatives and lead the development of AI-powered automation solutions for the business.
In this role, you will be a key contributor to our AI roadmap, responsible for building both the data foundations and agentic AI systems that enable intelligent workflows. You will work within a high-performing, cross-functional team to ensure our data lake is optimized to serve as the backbone for the next generation of AI-driven business solutions and automated organizational workflows.
Location Note: We are open to qualified candidates located within Canada with work authorization, but the CBC’s BI team is based in Toronto.
Here’s why we should work together:
Our digital teams’ values—collaboration, learning, and continuous improvement—embody who we are as a people-focused, digital-forward employer. We follow lean startup principles and use an Agile approach. Our dedicated people managers work closely with every individual to ensure we are leveraging their strengths, championing their ideas, and supporting their pursuit of new skills and their desired career progression.
Here at CBC Digital Strategy & Products, we want you to be happy and feel good at work. It is essential that work be a safe space where our employees are able to share their authentic selves with one another and to push each other to challenge conventions.
Perks you can look forward to:
- Work-Life Balance: Hybrid work environment with flexible work schedules, allowing you to prioritize yourself, your family, and your work.
- Financial & Stability: Enrollment in a generous defined benefits pension plan and a competitive total rewards package.
- Growth & Innovation: 20% of your time dedicated to innovation, learning, and development—wherever your interests lie.
- Tech & Learning: Opportunities to work with cutting-edge technology alongside continued learning and professional development.
- Community: Opportunities to become a member of our Employee Resource Groups.
- Collaboration: Pair programming and mentorship opportunities, where you can learn from the best in the industry and help coach new talent.
- Culture: A creative, dynamic, and supportive work environment where your ideas are valued and management is committed to the highest standards of diversity and inclusivity.
- Mindset: An environment which favors experimentation and an iterative approach to achieve technical innovation.
How you will make an impact:
- Massive Scale: The CBC’s digital footprint is one of the largest in Canada, meaning you will work with one of the largest datasets in the country for a highly respected brand.
- AI Leadership: The BI team has transformed how the CBC thinks about its data, audience, and products. Our engineering practice is rapidly expanding our AI capacity, and you will be a key player in shaping this process.
- Data Readiness: You will ingest and transform diverse data sources specifically for AI initiatives, ensuring data readiness for LLMs and agentic workflows.
- System Automation: You will build production agentic AI systems to automate complex business workflows.
- Cross-Functional Collaboration: You will be part of an established engineering practice, working alongside counterparts at Radio-Canada to align data strategies. Your contributions will be felt across multiple teams.
What you could bring to our team:
- The Expertise: * 5+ years of experience in Data/ML/AI Engineering, with recent experience (within the last 1–2 years) building and operating agentic AI systems or LLM-powered applications.
- Proven ability to implement and deploy reliable agentic AI tools and integrate GenAI into business workflows using LLMs and orchestration tools like LangGraph and LlamaIndex.
- Experience architecting robust batch and streaming data pipelines optimized for downstream AI/ML applications at scale (e.g., RAG and vector-based search).
- Solid understanding of distributed computing and big data best practices using Spark, with experience handling structured, semi-structured, and unstructured data.
- Proficiency in Python and experience operating within the Azure ecosystem.
- Deep experience enforcing data quality and governance.
- Practical experience in CI/CD pipelines and developing/maintaining API endpoints.
- The Drive: You thrive in an autonomous and ambiguous environment that rejects “business as usual.”
- The Right Attitude: You enjoy working with people and sharing your knowledge collaboratively. You approach things with a beginner’s mind and are constantly curious.
- The Communication Skills: You excel at presenting ideas to non-technical stakeholders and management. You are fluent in English and are an excellent verbal and written communicator.
- The Education: We are less interested in formal degrees. You might have an academic background in Computer Science, but we value practical know-how over theoretical knowledge. Certifications in Data, ML, or AI Engineering within the Azure stack are a major plus.
Note: Qualified candidates will be subject to a practical assessment of the above requirements.
Assets (Nice-to-Haves):
- Working knowledge of French (or a willingness to learn), as our team frequently collaborates with French-speaking counterparts at Radio-Canada in Montreal and Corporate in Ottawa.
- Experience with LLMOps.
- Data, ML, or AI engineering certification in any of the three major cloud platforms (preferably Azure).
- Experience with project management and support tools such as JIRA and Confluence.
To Apply:
At the CBC, we recognize that not everyone takes the same path when it comes to building their skills. We value diversity of thought and of experience, and we are excited to hear from you! Hands-on experience, intelligence, innovation, a passion for learning, and a team-focused approach can combine to form the best set of qualifications. If you feel you meet most of the qualifications and you are excited by the possibility of adding to the rich culture of the CBC, take a chance and express your interest by applying now!
If you’re interested in reading more about the various backgrounds of the talented people that make up our teams, our exciting new projects, and what we’re currently working on, check out our Digital Labs blog on Medium!
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.
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