Genai Platform Architect

3 weeks ago

Old Toronto, Ontario, Canada TD Full time
Job Summary

TD is seeking a highly skilled Genai Platform Architect to design and implement advanced artificial intelligence (AI) platforms to support the integration and deployment of generative AI technologies across various business domains. The ideal candidate will have a deep understanding of AI/ML models, cloud infrastructure, data management, and scalable system architectures.

Key Responsibilities
  • 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.
Requirements
  • 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.

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