> Markdown version of [/jobs/ext/4627968-technical-analyst-amazon-connect-conversational-ai-kore-ai](https://www.wearedevelopers.com/jobs/ext/4627968-technical-analyst-amazon-connect-conversational-ai-kore-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Analyst Amazon Connect / Conversational AI (Kore.ai) - **Company:** Aspire Inc. - **Location:** Chicago, IL, United States - **Salary:** $114,400 - $135,200 - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Reverse Engineering, Systems Integration, Amazon Connect, Chatbots, Restful APIs, Amazon Lex - **Published:** November 7, 2026 - **Apply:** https://www.dice.com/job-detail/38d54647-35e7-420f-9713-11dc2942f4ae ## About the Role · Strong technical/business analyst background in contact center or conversational AI. · Hands-on experience with Kore.ai or similar chatbot platforms (Google Dialogflow, Amazon Lex, Microsoft Bot Framework, Nuance). · Working knowledge of Amazon Connect: contact flows, channels, Lambda integrations. · Ability to read and reverse-engineer bot configurations, flows and integration code. · Experience documenting REST APIs, integrations and system dependencies. · Excellent communication and stakeholder management skills. Must be able to run discovery sessions with business, operations and technical teams. · Able to write documentation for both business and technical audiences. Nice to Have · Insurance domain experience, ideally Renters or other personal lines. · Experience with contact center migration or modernization programs. · Experience producing reusable documentation frameworks across business units. ## Description 1. Reverse-engineer the existing Kore.ai chatbot o Analyze the current bot and capture all features, flows and functionality. o Document each feature from both a business and a technical perspective. o Identify what should be carried forward, refined or retired on the new platform. 2. Capture stakeholder usage and dependencies o Work with the business, operations and technical teams that built and use the chatbot. o Document how, where, when and why each function is used. Reverse engineering alone won't answer these questions. o Map dependencies across stakeholder groups. 3. Document APIs and integration endpoints o Catalog all APIs, both Kore.ai and other services, and which channel calls each one: the chatbot, the phone/IVR channel, and so on. o Document all integration endpoints and exposed services. 4. Build the Amazon Connect integration view o Understand what is being built on Amazon Connect and how it interacts with the Renters business. o Produce reference documentation that shows how Amazon Connect connects to each channel, how the chatbot works, and which APIs are called. o Make this documentation reusable as a template for onboarding future LOBs such as Mobile. 5. Serve as the long-term knowledge owner o Keep the end-to-end knowledge of Amazon Connect channels, APIs and LOB integrations.