Sr Software Development Engineer

CVS Health•Hartford, CT

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Aetna IT Delivery organization, within CVS Health’s Data, Digital, Analytics, Technology (DDAT) organization, is seeking a Senior Software Development Engineer to drive the overall user experience for a Conversational AI platform that is helping our members and providers get answers to their health insurance questions through the channel of their choice. In this role you will be responsible for implementing the conversational flows to deliver a superior user experience. This role is responsible for implementing the conversational dialogs, partnering with product and technology partners to understand the requirements, influence features, and design. This is a contractor conversion job.

Requirements

5+ years software delivery experience including unit-testing, source code management
5+ years of Chatbot development experience with IBM Watson Assistant, or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)

Nice To Haves

Backend (server side) development experience either in Java, node.js
Multi-language background and experience working with programming languages such as Python, Java, Javascript/Typescript
Experience with IBM Voice gateway and / or IBM Discovery is a plus
Knowledge of automated speech recognition, including SSML tagging for TTS

Responsibilities

Designing and developing AI conversations, including integrating with enterprise APIs to fulfill consumer requests
Applying clean coding skills and best practices
Collaborating with user interface designers and backend application integration teams to understand the mechanisms through which the conversational AI solution will be used and what is needed to fulfill intents
Collaborating with teams and other developers to design, develop, test, deploy and maintain a chatbot
Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications
Integrate chatbot solutions with multiple platforms
Enhancing user effectiveness of the conversational agents with the help of advanced technologies
Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities
Tuning and enhancing Speech to Text models