Generative AI Solutions Architect

A career as a Generative AI Solutions Architect within the Commercial and 1859 Technology and Innovation team at National Bank means acting as a specialist in the design and evolution of solutions enhanced by generative artificial intelligence. This role allows you to make a meaningful impact on our organization by leveraging your expertise in architecture, data, and emerging AI technologies.

Your Role

• Collaborate with cross-functional teams to define solutions that integrate generative AI into a variety of business contexts.
• Influence technology directions and guide teams in adopting services, tools, and frameworks related to large language models (LLMs) and AI-powered solutions.
• Design modular, secure, and scalable architectures that incorporate generative AI models and cloud-based components.
• Ensure solution consistency, quality, and compliance by working closely with development, data, infrastructure, and cybersecurity teams.
• Contribute to the implementation of end-to-end solutions, including data pipelines, MLOps, system integrations, and monitoring/FinOps mechanisms.
• Diagnose complex challenges and recommend approaches that ensure the robustness, performance, and security of deployed AI solutions.

Your Team

The Technology and Innovation Vice-Presidency is composed of more than 20 specialists who work in an agile, proactive, and collaborative way to seize opportunities, stay at the forefront of technological advancements, and continuously improve processes.

Within the Solutions Architecture sector, you will be part of a large team of colleagues and report to the Senior Director, Commercial Innovation Architecture. Our team is recognized for its collaborative spirit, openness to innovation, and constant desire to experiment with new approaches that create value. We are committed to providing maximum flexibility to support your work-life balance through a hybrid work environment and a flexible, adaptable schedule.

National Bank values continuous learning and internal mobility.

Our personalized development programs, built on learning through experience, enable you to deepen your expertise and explore new areas of specialization. Resources such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring opportunities are available to you at all times.

Prerequisites

• Bachelor’s degree in Software Engineering, Computer Science, or a related field, combined with several years of relevant experience in solution architecture within complex environments.
• Hands-on experience delivering projects involving generative AI, advanced language models, or emerging AI solutions.
• Strong understanding of cloud architecture concepts, ideally within AWS and Salesforce ecosystems, including services applicable to generative AI.
• Experience designing solutions that integrate data, APIs, microservices, and technology governance mechanisms.
• Knowledge of modern software development practices, CI/CD, application security, and continuous integration.
• Experience or knowledge of the banking industry is considered a strong asset.