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Solution Architect- Gen AI

  • Full Time, onsite
  • Maven Companies
  • Hybrid2 days onsite, United States of America
Salary undisclosed

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Solution Architect

  • We need someone with Gen AI exposure who has done some previous implementation.
  • Also having Python dev experience would be beneficial.
  • Screening questions will be based on Chatbot/Conversational AI and also Retrieval-Augmented Generation (RAG) or similar techniques.
    • AWS expertise especially Lex, Lambda, S3, API Gateway, DynamoDB is required.

Onsite Requirement (Time zone?): Chicago 2 days/week at Willis Tower Downtown Chicago

Absolute must haves

  • Conversational AI chatbot project
  • Previous GenAI project

Prefer if they have some Gen AI exposure and have done some previous implementation. Also having Python dev experience would be beneficial.

  • Conversational AI / NLP Implementation:
    • Hands-on experience with NLP/NLU tools (such as Amazon Lex, Google Dialogflow, Rasa, Azure Bot Framework)
    • Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responses
    • Designed and deployed chatbot solutions across web and mobile platforms
  • Cloud Architecture:
    • Strong preference for AWS expertise especially Lex, Lambda, S3, API Gateway, DynamoDB
    • Familiar with cloud-native services, including compute, storage, and networking architecture
  • Integration & DevOps:
    • Experience designing APIs and integrating chatbot applications with backend services
    • Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (such as Terraform, CloudFormation)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Solution Architect

  • We need someone with Gen AI exposure who has done some previous implementation.
  • Also having Python dev experience would be beneficial.
  • Screening questions will be based on Chatbot/Conversational AI and also Retrieval-Augmented Generation (RAG) or similar techniques.
    • AWS expertise especially Lex, Lambda, S3, API Gateway, DynamoDB is required.

Onsite Requirement (Time zone?): Chicago 2 days/week at Willis Tower Downtown Chicago

Absolute must haves

  • Conversational AI chatbot project
  • Previous GenAI project

Prefer if they have some Gen AI exposure and have done some previous implementation. Also having Python dev experience would be beneficial.

  • Conversational AI / NLP Implementation:
    • Hands-on experience with NLP/NLU tools (such as Amazon Lex, Google Dialogflow, Rasa, Azure Bot Framework)
    • Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responses
    • Designed and deployed chatbot solutions across web and mobile platforms
  • Cloud Architecture:
    • Strong preference for AWS expertise especially Lex, Lambda, S3, API Gateway, DynamoDB
    • Familiar with cloud-native services, including compute, storage, and networking architecture
  • Integration & DevOps:
    • Experience designing APIs and integrating chatbot applications with backend services
    • Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (such as Terraform, CloudFormation)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job