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GEN AI Architect
GEN AI ArchitectNoblesoft Technologies • Charlotte, Vermont, USA
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GEN AI Architect

GEN AI Architect

Noblesoft Technologies • Charlotte, Vermont, USA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Role : GEN AI Architect

Location : Charlotte NC

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.
  • 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 clients 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.
  • Key Skills

    APIs,Pegasystems,Spring,SOAP,.NET,Hybris,Solution Architecture,Service-Oriented Architecture,Adobe Experience Manager,J2EE,Java,Oracle

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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