Position Title:
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
Status of Employment:
Contractee Long-Term (Durée déterminée)
Position Language Requirement:
English, French
Language Skills:
English (Reading - C - Advanced), English (Speaking - C - Advanced), English (Writing - B - Intermediate), French (Reading - C - Advanced), French (Speaking - C - Advanced), French (Writing - B - Intermediate)
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
The Software and Platform Architecture Team is looking for a creative, highly skilled and talented AI Lead Architect with deep Subject Matter Expertise in AI governance and implementation for our downtown Toronto, Ottawa or Montreal Office location.
Reporting to the Director of Software Architecture and Contract Management, you will be responsible for establishing, leading and contributing to the AI Architecture evolution and governance.
This role will join an existing team of architects who have a focus on software and cloud platforms architecture best practice and governance.
As part of the Architecture department you will leave your mark by bridging the gap between advanced AI technologies and practical business needs. You will help design, build, and oversee the integration of scalable artificial intelligence systems, including machine learning pipelines and agentic AI workloads, ensuring security, compliance and alignment with overall enterprise objectives.
You will enjoy innovative work in a creative and dynamic work environment, working with leading technologies, and opportunities for continued professional development.
How will you make an impact?
As the AI Lead Architect, you will:
- Evaluate AI frameworks, platforms and tools (e.g., AWS, Microsoft Azure, Google Cloud) 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.
- Work with business leaders to define desired outcomes, success metrics and value drivers for AI initiatives.
- Mentor technical teams on AI architecture best practices.
Perks you can look forward to:
- 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.
What you bring to our team
Minimum 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.
Desired Skills
- 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.
We thank all applicants for their interest, but only candidates selected for an interview will be contacted.
Primary Location:
1000, Rue Papineau, Montreal, Quebec, H2K 0C2
Number of Openings:
1
Work Schedule:
Full time
