GenAI Architect

GenAI Architect

JOB DESCRIPTION:

Responsibilities:

• Lead the architectural design and implementation of scalable, generative AI-powered solutions for business automation, leveraging both Azure and Google Cloud platforms.
• Architect end-to-end AI model workflows, utilizing Azure AI, and Google AI tools. Focus will be on applications involving complex document intelligence, multi-modal data analysis, and advanced image processing tasks.
• Design and oversee the development of optimized RAG (Retrieval Augmented Generation) pipelines that incorporate varied data sources and formats to improve prompt execution.

Skills:

• Deep expertise with Azure AI services (including Cognitive Services) and Google Cloud AIML platform.
• Extensive knowledge and practical experience with document processing using Azure Document Intelligence and alternative OCR technologies.
• Mastery of Snowflake for data modeling, warehousing, and integrating with advanced analytics workflows.
• Proficiency with cloud orchestration tools, like GKE Scheduler, and asynchronous communication services (e.g., Google PubSub).
• Advanced expertise in API management using Apigee and related security best practices.
• Proven ability to design and implement Kubernetes-based AI model deployments, including model optimization techniques.
• Experience working with and extending custom Generative AI tooling.
• Deep understanding of Retrieval Augmented Generation (RAG) concepts and its applications.