Job description:

Design and develop robust, scalable, and efficient data architecture to support the organization's Generative AI initiatives, including data storage, data processing, and data integration. Lead the implementation and integration of advanced Generative AI models and techniques, such as GPT-4, Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs) and RAG (Retrieval Augmented Generation) Collaborate with data engineers, data scientists, business analysts, and other stakeholders to understand their data and AI requirements and translate them into technical specifications. Evaluate and recommend cutting-edge tools, technologies, and best practices for data engineering and Generative AI, ensuring alignment with the organization's strategic goals. Develop and maintain data models, data dictionaries, and metadata repositories to ensure data consistency, accuracy, and standardization across the organization. Collaborate with project managers and other stakeholders to develop and maintain project plans, timelines, and resource requirements for data engineering and Generative AI initiatives. Keep up-to-date with the latest trends and advancements in the Data Engineering and Generative AI space, incorporating relevant insights into the organization's data strategy.

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