Principal AI Architect

At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #Team Bell and we’re always on the lookout for people with great skills and experiences.

We provide a supportive and inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

Join us. You belong at Bell.

At Bell, data science experts like you are shaping the future. You'll create, apply and work with algorithms that learn and analyze data, just like the human brain. By leveraging AI and machine learning technologies, you'll help us deliver better experiences and service innovations to Canadians.

Plus, through our partnerships, you'll have the opportunity to learn and grow alongside other AI professionals to advance your career and make a lasting impact.

We are seeking a highly accomplished and visionary Principal AI Architect to define and lead the architectural design and implementation for our next-generation AI-powered products and services. This is a high-impactful role that demands a unique blend of deep technical expertise, strategic thinking, and exceptional collaboration skills. As the Principal AI Architect, you will shape the future of our AI capabilities, ensuring they are seamlessly integrated into our broader technology ecosystem to deliver scalable, secure, and innovative solutions that drive business transformation.

• Lead the architectural design of complex AI models and products, guiding projects from conception to production.
• Design and implement new AI-driven processes and products, ensuring scalability, reliability, and maintainability.
• Identify, prioritize, and execute initiatives to reduce technical debt within the AI architecture.
• Provide expert advice on project feasibility, ensuring a production-focused approach and adherence to best practices.
• Lead collaborative sessions with key stakeholders (product managers, business leaders, etc.) to define project requirements and contribute to short- and long-term planning.
• Promote collaboration and synergy across the organization by leveraging shared resources and expertise.
• Manage and effectively prioritize multiple demanding projects simultaneously, ensuring rapid, high-quality deliverables.
• Stay up to date with the latest advancements in AI, machine learning, and related technologies, identifying opportunities for innovation and improvement.
• Mentor and guide junior architects and engineers, fostering a culture of continuous learning and development.
• Ensure compliance with security and regulatory standards throughout the AI lifecycle.
• Assess, recommend, and integrate AI agents into internal systems and products, leveraging existing SDKs/APIs/tools and common user interfaces, with clear criteria for cost, performance, sovereignty, and compliance.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field, or equivalent experience.
• Minimum of 10 years’ experience in designing and implementing AI architectures, with proven success in delivering complex AI-based solutions.
• Deep understanding of organizational business objectives and how AI can be leveraged to achieve strategic goals.
• Advanced experience in designing and implementing scalable, robust AI architectures across various platforms and cloud environments.
• Strong understanding of business and technology trends related to artificial intelligence and machine learning.
• Excellent leadership and management skills, with the ability to guide and mentor teams effectively.
• Proficiency in Agile development methodologies and frameworks.
• Expertise in Python and various AI frameworks and tools (e.g., Tensor Flow, PyTorch, scikit-learn).
• Experience building a Retrieval Augmented Generation (RAG)
• Expertise in…