AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)

11 days ago

Toronto, Canada +2 moreStaff+

Responsibilities

Establish, lead, and contribute to AI architecture evolution and governance.
Evaluate AI frameworks, platforms, and tools, including AWS, Microsoft Azure, and Google Cloud, and recommend build-versus-buy decisions.
Guide foundation model selection and architect AI applications using LLMs, machine learning, deep learning, and NLP.
Develop roadmaps for generative AI, LLM, and agentic AI initiatives.
Lead integration of scalable AI systems, machine learning pipelines, and agentic AI workloads with enterprise applications.
Define standards for model performance, traceability, data lineage, privacy, security, compliance, and responsible AI.
Craft prompts, evaluate outputs, and design automated end-to-end agentic workflows.
Test, refine, monitor, and govern AI models and solutions in production.
Work with business leaders and stakeholders to define use cases, outcomes, success metrics, and value drivers.
Collaborate with ethics and compliance teams on regulatory and governance requirements.
Lead technical discussions and mentor development and technical teams on AI architecture best practices.

Bachelor’s or master’s degree in Computer Science, Data Science, or a related field.
3–5 years of 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.
Deep understanding of machine learning, natural language processing, and AI application deployment using Python or R.
Knowledge of AI governance frameworks and responsible AI practices.
Experience with data management systems and MLOps tools such as Kubernetes, Git, and model registries.
Vendor certifications such as Microsoft Certified: Agentic AI Business Solutions Architect or equivalent AWS/GCP architecture credentials are highly valued.
Exceptional stakeholder management, technical leadership, and ability to promote AI adoption internally.
Experience in media, broadcasting, content distribution technology, regulated industries, enterprise architecture frameworks, or compliance is desirable.
Executive communication, product management, coaching, problem-solving, and remote-team collaboration skills are desirable.
Bilingual English and French capability is a strong asset.
Candidates may be subject to skills and knowledge testing and a background check.

Hybrid work arrangement with work-from-home opportunities; work locations include CBC/Radio-Canada offices in Montreal, Toronto, or Ottawa.
Long-term fixed-duration contractee position with full-time schedule.
Four weeks of vacation per year.
Competitive total rewards package.
Opportunities to work with cutting-edge technology and access continued learning, e-learning, customized courses, and certifications.
Employee Resource Group membership opportunities and a creative, inclusive, and supportive work environment.

5,001-10,000 employees