Job description

Position Summary The Aetna IT Delivery organization, within CVS Health’s Data, Digital, Analytics, Technology (DDAT) organization, is seeking an IBM Watson Assistant Conversational AI Chatbot Developer to drive the overall user experience for a Conversational AI platform that is helping our members to 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. You will make an impact by: • Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems • 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 • Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat) • 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 Required Qualifications • 5+ years software delivery experience • 3+ 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 ) • 3+ years training and improving intent recognition by curating the appropriate training data sets • 3+ years applying Conversational AI best practices (e.g. NLP and training data best practices) • 1+ years of experience in CICD, Git, unit-testing and source code management • 1+ years of knowledge of cloud development and deployment principles • 1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements Preferred Qualifications • 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

Requirements

Must-haves

Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems
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
Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat)
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
5+ years software delivery experience
3+ 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 )
3+ years training and improving intent recognition by curating the appropriate training data sets
3+ years applying Conversational AI best practices (e.g. NLP and training data best practices)
1+ years of experience in CICD, Git, unit-testing and source code management
1+ years of knowledge of cloud development and deployment principles
1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningagilejavanode.jspythonjavascripttypescript

Platform: careers-browser
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance