GEN AI Architect

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William

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9:25 AM (13 hours ago) 9:25 AM
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Title          : GEN AI Architect

Location  : Charlotte, North Carolina (onsite)

 

GC ONLY

 

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Job Description (Posting).

:

·    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.

·    Establish best practices for prompt engineering and iterative refinement to maximize the accuracy and relevance of outputs across diverse data types.

·    Collaborate with cross-functional teams (engineering, data science, business) to translate complex business requirements into robust, scalable AI component designs.

·    Champion the integration of the client's proprietary generative AI tools into the architecture and development lifecycles.

·    Direct the implementation of robust API management strategies using Apigee for secure and efficient access to AI models and related services.

·    Ensure all solution designs adhere to stringent data governance policies and use cloud-native security mechanisms and compliance tools.

·    Provide architectural guidance and design patterns for leveraging generative AI within critical business processes like License Audit and Product Approval, emphasizing scalable and verifiable outcomes.

·    Establish and automate DevOps pipelines for model deployment, testing and iterative enhancements.

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.

·    Strong command of Python for development and automation tasks.

·    Demonstrated experience converting business needs into scalable and maintainable technical designs.

·    Experience working with and extending custom Generative AI tooling.

·    Deep understanding of Retrieval Augmented Generation (RAG) concepts and its applications.

 

 

 

 

 

 

 

 

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