Full Stack Developer-IBM WostonX

Job Description

The Health Care Benefits Delivery organization within CVS Healths Data Digital Analytics and Technology (DDAT) division is seeking a Full Stack Developer / Conversational AI Engineer to help deliver a next-generation Conversational AI platform. This role focuses on enabling members and providers to receive timely accurate health insurance answers through the digital channels of their choice improving overall access clarity and experience.

In this role you will drive the end-to-end design and implementation of conversational experiences specializing in IBM WatsonX Orchestrate and related Conversational AI technologies. You will architect build and optimize rich conversational flows integrate enterprise data sources and ensure responses are context-aware accurate and trustworthy. As an expert on the full application stack you will align features and user stories with solution designs maintain a holistic understanding of the platform and collaborate closely with product UI/UX and backend teams to influence requirements deliver scalable solutions and ensure a seamless user-centric experience from end to end.

Responsibilities

• Participate in feature and user story refinement sessions with key stakeholders to clearly articulate requirements identify gaps and recommend adjustments as needed.
• Recommend and propose technical solutions aligned to business requirements prioritization scalability and cost considerations.
• Design develop and implement end-to-end Conversational AI solutions including chatbot and voice experiences.
• Architect and build AI-driven conversational flows that integrate with external APIs cloud functions and enterprise systems.
• Identify data needs for use cases and partner with integration architects and backend teams to map enterprise services to conversational and user interface layers.
• Collaborate closely with product UI/UX designers backend engineers and other developers to design develop test deploy and maintain conversational AI solutions.
• Apply clean coding standards and engineering best practices throughout development.
• Integrate chatbot solutions across multiple platforms and deployment channels including chat and voice.
• Troubleshoot debug tune and deploy conversational agents ensuring reliability and performance across channels.
• Leverage AI NLP and cognitive machine learning technologies to enhance the accuracy relevance and effectiveness of conversational agents.
• Tune and enhance Speech-to-Text models to improve conversational understanding and user experience.
• Address technical issues risks and dependencies as part of solution design and delivery.
• Continuously build expertise in emerging technologies and analytics techniques contributing to innovation and business value.

Required Qualifications:

Understanding of architecture patterns to enable scalable solutions for data management BI and analytics.

Deep understanding of data lifecycle management (operational databases warehouses integration and governance pipelining analytics enablement and reporting).

Ability to break down Agile Stories into discreet tasks with estimates for planning.

Experienced full stack developer that has worked on complex enterprise scale applications.

Strong collaboration and communication skills within and across co-located teams

Experience delivering solutions through a SAFe delivery methodology

Dev Skills Required:

5 years experience as a Full Stack Developer using NodeJS/TypeScript & Java focusing on Spring and creating RESTful web services.

3 years of Chatbot development experience with IBM WatsonX Orchestrate or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX LivePerson Amazon Lex )

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)

5 years of debugging and optimization skills.

5 years of experience creating unit/ integration testing using either Selenium or Junit etc.

5 years experience developing and delivering microservices on OpenShift container platform.

5 years experience with either Postman or SoapUI or Swagger or TeamSite or Splunk.

5 years experience of participating in all aspects of agile software development including design implementation and deployment.

5 years of experience with cloud development and deployment principles using either AWS Azure or Google Cloud.

Enterprise DevOps & Deployment methods:

Experience with either Jenkins Github or Octopus deployment (CI/CD process).

Preferred Qualifications:

Experience with AngularJS / React / JSP /CSS / HTML / Python

Chatbot experience with any other similar chatbot conversational AI tool (i.e Google Dialogflow CX LivePerson Amazon Lex ).

Familiarity with SSML (Speech Synthesis Markup Language) tagging for TTS refinement

Understanding of data and analytics tools including Tableau Alation DataRobot Trifacta.

Critical thinker with the ability to make decisions on technology aligned to business needs for analytics and data engineering functions.

Highly motivated independent worker with a pulse on industry trends and best practices.

Good business acumen skills and professional communication skills.

Ability to work collaboratively in a highly matrixed environment.

Education

Bachelors degree in computer science and engineering or STEM or equivalent experience ( high school 4 years of relevant experience.)