AWS AI Chatbot Engineer

Customer: AI | Published: 27.09.2025

I run all of my services on AWS and now want to introduce an AI-powered chatbot across the stack. The conversational engine must be built with Amazon Lex and deployed within the existing infrastructure using best-practice DevOps / AIOps principles. Here is what I need from you: • Design and build a Lex bot from the ground up, including intents, slots and Lambda fulfillments that hook into our current backend APIs. • Provision and automate the supporting AWS resources—IAM roles, Lambda functions, DynamoDB (or other datastore you recommend), CloudWatch dashboards and alarms—through infrastructure-as-code (CloudFormation or Terraform). • Set up a CI/CD pipeline so new bot versions, language models and Lambda code reach production with zero downtime. • Create monitoring and logging that surface real-time metrics for conversation success, latency and error rates. • Make the architecture language-agnostic so we can toggle between single-language and multilingual support later without major refactoring. • Provide concise deployment documentation and a short hand-over session so my in-house team can extend the solution. Successful delivery means I can add the Lex bot to my application, watch traffic flow through CloudWatch, and roll out updates via the pipeline in one click, with everything fully reproducible from code.