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Solution Architect (Conversational AI)

Salary undisclosed

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Job Title: Solution Architect (Conversational AI)

Onsite Requirement/Remote (Time zone?): Chicago 2 days/week relo ok.

Target Start Date: asap

Min - 14+_ IT Exp

In and around Chicago only as this 2 Days Hybrid

Background : Modernizing tech stack within Contact Center implementing genai into automations and workflows

Job Description

Solution Architect

  • Conversational AI / NLP Implementation:
    • Hands-on experience with NLP/NLU tools (e.g., 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 (e.g., 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

Job Title: Solution Architect (Conversational AI)

Onsite Requirement/Remote (Time zone?): Chicago 2 days/week relo ok.

Target Start Date: asap

Min - 14+_ IT Exp

In and around Chicago only as this 2 Days Hybrid

Background : Modernizing tech stack within Contact Center implementing genai into automations and workflows

Job Description

Solution Architect

  • Conversational AI / NLP Implementation:
    • Hands-on experience with NLP/NLU tools (e.g., 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 (e.g., 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