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Architect - Gen AI ,Azure

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Architect (Level: Manager)
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CREQ242418 Requisition #
  • Good implementation experience in data analytics space or a senior developer role in one of the modern technology stack.
  • Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java.
  • Ability to build API based scalable solutions and debug & troubleshoot software or design issues.
  • Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints.
  • Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or 

    Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market.

     

  • Basic data engineering skills to load structured & unstructured data from source systems to target data stores.
  • Work closely with Gen AI leads and other team members to address requirements from the product backlog Build and maintain data pipelines and infrastructure to support AI Solutions.
  • Hands on exposure to using cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and ETL tools is a big plus.
  • Masters/Bachelors degree in Computer Science or Statistics or Mathematics. 
  • Should possess Agentic AI experience.
  • Good implementation experience in data analytics space or a senior developer role in one of the modern technology stack.
  • Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java.
  • Ability to build API based scalable solutions and debug & troubleshoot software or design issues.
  • Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints.
  • Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or 

    Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market.

     

  • Basic data engineering skills to load structured & unstructured data from source systems to target data stores.
  • Work closely with Gen AI leads and other team members to address requirements from the product backlog Build and maintain data pipelines and infrastructure to support AI Solutions.
  • Hands on exposure to using cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and ETL tools is a big plus.
  • Masters/Bachelors degree in Computer Science or Statistics or Mathematics. 
  • Should possess Agentic AI experience.

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