conversational AI Engineer

Job Title:
Sr. Developer – Google AI Full Stack / Conversational AI Engineer

Internal Title:
Program Manager

Work Model:
Hybrid

Location:
Onsite – Hartford, CT (USCTHARC01 Hartford - CT USA, CLT/RMT)

Years of Experience:
10–14 years (Total: up to 14 years)

Job Type:
Business Associate (50CW00)

Travel Required:
No

Subcontractor Allowed:
Yes

Certifications Required:
None

Job Summary

The Aetna IT Delivery organization, part of CVS Health's
Data, Digital, Analytics, Technology (DDAT)
division, is seeking a
Conversational AI Engineer / Google AI Full Stack Developer
for the
YAVA
project.

You will be responsible for designing and delivering a next-generation
Conversational AI platform
to support members and providers by leveraging
Google Conversational AI technologies
and
Retrieval Augmented Generation (RAG)
. You will own the end-to-end user experience and build scalable, context-aware conversational solutions.

Required Experience

• 10–14 years of total IT experience
• Strong hands-on experience in
  Conversational AI
  and
  Generative AI
• Experience working with
  Google Cloud Platform (GCP)
  and AI services

Required Skills

Technical Skills:

• Amazon Lex
• Machine Learning
• GCP (Google Cloud Platform)
• Generative AI (e.g., GPT-3)
• RAG (Retrieval Augmented Generation)

(
Nice to Have Skills:
Not specifically mentioned.)

Technology

• Not Applicable (general AI / GCP / conversational platforms)

Responsibilities

Design & Develop Advanced Google AI Conversations

• Build and maintain dialog flows using
  Google Dialogflow CX
  ,
  Google Vertex AI
  , or similar Google conversational platforms
• Focus on contextual intent handling and high-quality user interactions

Implement Retrieval Augmented Generation (RAG)

• Integrate external knowledge bases and enterprise APIs with AI models
• Deliver dynamic, contextually relevant, and reference-backed responses

Apply Best Practices in Conversational AI

• Use robust coding standards, NLP best practices, and reusable design patterns
• Ensure scalability, maintainability, and consistency across solutions

Cross-Functional Collaboration

• Work with
  Product
  ,
  UI/UX
  , and
  Backend
  teams
• Define requirements, influence features, and design APIs and data retrieval pipelines
• Align conversational triggers with backend and data engineering workflows

End-to-End Chatbot Lifecycle Ownership

• Lead design, development, testing, deployment, and maintenance of conversational agents
• Continuously optimize for user engagement, satisfaction, and performance

Multi-Channel Integration

• Ensure seamless experiences across
  web, mobile, and voice
  channels
• Integrate solutions with
  Google Cloud
  services and enterprise APIs

Enhance Conversational Intelligence

• Use Google's
  NLP
  ,
  speech-to-text
  ,
  machine learning
  , and
  LLMs
• Improve accuracy, dialog flow, and natural language understanding

Continuous Learning & Innovation

• Stay current with emerging
  generative AI
  and conversational technologies
• Contribute ideas and solutions that support technology-driven business innovation

Speech Technologies

• Tune and enhance
  speech recognition
  and
  text-to-speech (TTS)
  models
• Work with
  Google Cloud Speech-to-Text
  and related technologies
• Use advanced tagging such as
  SSML
  for better voice experiences