A technology solutions provider in Chicago is seeking a Contact Center Solution Architect with at least 5 years of experience in Conversational AI technologies, including chatbots and IVR. The role requires 8 years of hands-on experience in Contact Center and CX platforms, as well as strong knowledge of cloud infrastructure such as AWS, Azure, or GCP. This contract-to-hire position involves designing solutions and collaborating with various teams to ensure seamless integration with backend systems.
Qualifications
5+ years with Conversational AI technology including chatbots, IVR, and AI solutions.
8+ years of hands-on technical experience in Contact Center platforms.
Strong understanding of cloud platforms, APIs, and web technologies.
Responsibilities
Design and implement chatbot and IVR solutions.
Lead integration of voice and web channels with back-end systems.
Collaborate with stakeholders to define project requirements.
Skills
Conversational AI technology
Cloud technologies
APIs
CI/CD
DevOps practices
Tools
AWS
Azure
GCP
Job description
Contact Center Solution Architect (Chicago, IL)
Responsibilities:
5+ years withConversational AI technology - Chatbots both messages/voice with proven experience delivering IVR, web chat, and AI-powered virtual assistant solutions.
Experience integrating these chatbots on web/.com site and then API gateway integrations
Orchestration of solutions designs involving above + Middleware + end data system /generative AI+RAG
8+ years of hands on technical experience in Contact Center & CX platforms
8+ years of experience with cloud technologies / infrastructure (AWS)
Solid technical understanding of cloud platforms (AWS/Azure/GCP), APIs, CI/CD, web technologies, and DevOps practices.
Lead design solutions/solution blue prints, artifacts/ hands on code involvingConversational AI,IVR systems,chatbot/web chat solutions, andcloud-native web applications.
Collaborate with technology leads/developers, business SMEs, UX designers, and technology stakeholders to define technical deliveries
Drive integration of Voice and Web-based channels with back-end systems, APIs and analytics platforms.
Coordinate with Cloud infrastructure teams (AWS, Azure, or GCP) to ensure scalable, secure, and high-performance deployments.
Lead/design/architecting API integrations between internal platforms, external systems, and cloud services.
Collaborate with development, infrastructure, and product teams to gather integration requirements and translate them into scalable technical solutions.