Senior AI Engineer, Business Intelligence

CBC/Radio-Canada•Toronto, ON

4d•Hybrid

About The Position

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. We are open to qualified candidates located within Canada with work authorization, but the CBC’s BI team is based in Toronto.

Requirements

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.
Thrive in an autonomous and ambiguous environment that rejects “business as usual.”
Enjoy working with people and sharing your knowledge collaboratively.
Approach things with a beginner’s mind and are constantly curious.
Excel at presenting ideas to non-technical stakeholders and management.
Fluent in English and are an excellent verbal and written communicator.
Practical know-how over theoretical knowledge.
Candidates will be subject to a practical assessment of the above requirements.

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.

Responsibilities

Ingest and transform diverse data sources specifically for AI initiatives, ensuring data readiness for LLMs and agentic workflows.
Build production agentic AI systems to automate complex business workflows.
Work alongside counterparts at Radio-Canada to align data strategies.
Contribute to the AI roadmap, responsible for building both the data foundations and agentic AI systems that enable intelligent workflows.
Optimize the data lake to serve as the backbone for the next generation of AI-driven business solutions and automated organizational workflows.

Benefits

Hybrid work environment with flexible work schedules
Enrollment in a generous defined benefits pension plan
Competitive total rewards package
20% of your time dedicated to innovation, learning, and development
Opportunities to work with cutting-edge technology
Continued learning and professional development
Opportunities to become a member of our Employee Resource Groups
Pair programming and mentorship opportunities
A creative, dynamic, and supportive work environment where your ideas are valued
Management is committed to the highest standards of diversity and inclusivity
An environment which favors experimentation and an iterative approach to achieve technical innovation.