Sr. GenAI Platform Architect to design, develop, and implement advanced (AI) platforms to support the integration and deployment of generative AI technolog

Our banking client is looking for a Sr. GenAI Platform Architect to design, develop, and implement advanced (AI) platforms to support the integration and deployment of generative AI technologies

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

The GenAI Platform Architect will be responsible for designing, developing, and implementing advanced artificial intelligence (AI) platforms to support the integration and deployment of generative AI technologies across various business domains. This role requires a deep understanding of AI/ML models, cloud infrastructure, data management, and scalable system architectures. The ideal candidate will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver innovative AI solutions that drive strategic business outcomes

BREADTH & DEPTH

• Seasoned individual contributor role with expert knowledge of specific enterprise and/or functional domain(s) and a demonstrated track record working with a broad range of architecture frameworks, technology, tools, processes and procedures
• Exceptional collaboration, communication and client-facing skills
• Big-picture thinker, with ability to anticipate architectural gaps and identify emerging trends through both advanced business acumen and highly specialized technical knowledge of TD and its applications, programming languages, industry best practices, Bank standards, infrastructure and architectural design / solutions
• Architect assigned to work autonomously on high profile, complex and/or high-risk technology projects with significant impact to the organization
• Reports to an Architecture Practice Lead / Practice Area Lead

JOB REQUIREMNT

• Design scalable and robust AI platforms to support the development, training, and deployment of generative AI models.
• Develop and implement architecture blueprints and roadmaps for AI/ML solutions.
• Ensure the integration of AI platforms with existing IT infrastructure and systems.
• Collaborate with data scientists to understand model requirements and provide architecture support for model development and deployment.
• Implement best practices for model versioning, monitoring, and governance.
• Optimize AI models for performance, scalability, and efficiency.
• Design and implement cloud-based solutions for AI/ML workflows, leveraging platforms such as AWS, Azure, or Google Cloud.
• Ensure data integrity, security, and compliance in AI/ML solutions.
• Manage data pipelines, storage solutions, and data processing frameworks to support AI model development.
• Work closely with business stakeholders to understand AI use cases and translate them into technical requirements.
• Collaborate with engineering teams to ensure seamless integration of AI solutions into production environments.
• Provide technical leadership and mentorship to junior architects and engineers.
• Stay abreast of the latest advancements in AI/ML technologies and industry trends.
• Identify opportunities for innovation and improvement in AI platform architecture and processes.
• Contribute to the development of AI strategy and vision for the organization.

EXPERIENCE & EDUCATION

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• Extensive experience in designing and implementing AI/ML platforms and architectures.
• Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of AI/ML model development, deployment, and lifecycle management.
• Experience with data management, including data pipelines, storage solutions, and processing frameworks.
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

NICE TO HAVE

• Experience with generative AI models and frameworks such as GPT, GANs, or other deep learning models.
• Knowledge of big data technologies and tools such as Hadoop, Spark, or Kafka.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Experience with AI/ML tools and libraries such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of DevOps practices and CI/CD pipelines.

Who We Are:

One of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

We are deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing - and so will you.