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IBM X-Force Intelligence Analyst
Openkyber
3d ago
0OtherGA, USjobspy_indeed
remoteindeed
Job Description
Start Date: As soon as possible Location: 3 local to Hartford, CT Hybrid In office Tuesday\-Thursday; Remote Monday \& Friday Health Care Exp Preferred The Client 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 Watson X 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 manageme
