Conversational AI Engineer - Richardson, TX(Onsite)

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Job Role: Conversational AI Engineer

Location: Richardson, TX / Hartford, CT Onsite

Looking Only W2. No C2C

Position Summary

• The Aetna IT Delivery organization, part of CVS Health's Data, Digital, Analytics, Technology (DDAT) division, is seeking a Conversational AI Engineer specializing in IBM Watson Orchestrate AI technologies.
• This role will drive the end-to-end user experience for a next-generation Conversational AI platform designed to support members and providers by delivering timely, accurate health insurance answers across multiple digital channels.
• You will be responsible for architecting, implementing, and optimizing rich conversational experiences using IBM's Conversational AI stack, while integrating enterprise data sources to deliver context-aware, reliable responses.
• This position requires close collaboration with Product, UI/UX, and Backend Engineering teams to define requirements, influence features, and ensure scalable, user-centric conversational solutions.

Key Responsibilities

• Design and develop AI-driven conversational flows with responses retrieved from external APIs through cloud functions or enterprise system integrations.
• Apply clean coding principles and software engineering best practices.
• Collaborate with UI/UX designers and backend integration teams to understand chatbot usage patterns and define requirements for intent fulfillment.
• Work with cross-functional teams to design, develop, test, deploy, and maintain chatbot solutions.
• Troubleshoot chatbot issues, debug workflows, and deploy conversational solutions across multiple channels (chat/voice).
• Leverage AI, NLP technologies, and cognitive machine learning techniques to enhance chatbot performance.
• Integrate chatbot solutions with multiple platforms and enterprise applications.
• Improve user effectiveness through adoption of advanced conversational AI technologies.
• Stay current with emerging technologies and analytics methods, supporting business development opportunities as needed.
• Tune and enhance Speech-to-Text (STT) models for improved voice experience accuracy.

Required Qualifications

• 5+ years of software delivery experience.
• 3+ years of chatbot development experience using IBM Watson Orchestrate or similar Conversational AI platforms (e.g., Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai).
• 3+ years of experience training and improving intent recognition through training dataset curation.
• 3+ years applying Conversational AI best practices (NLP, training data optimization, conversation design standards).
• 1+ year of experience with CI/CD pipelines, Git, unit testing, and source code management.
• 1+ year of knowledge of cloud development and deployment principles.
• 1+ year of backend/server-side development experience in Java, Node.js, or Python.
• 1+ year of multi-language experience in JavaScript/TypeScript.
• 1+ year working in an Agile environment, with knowledge of DevOps practices, end-to-end SDLC processes, and business requirements.

Preferred Qualifications

• Experience with IBM Watson Speech-to-Text, Watson Discovery, or similar voice processing and information retrieval tools.
• Familiarity with SSML (Speech Synthesis Markup Language) tagging for improving Text-to-Speech (TTS) quality.
• Experience integrating unstructured data sources (e.g., semantic search, document retrieval using embeddings) into conversational AI agents.

Best Regards

Peerbhi SK

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