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Design and deploy AI-powered contact center solutions using platforms like Google Contact Center AI and Amazon Connect. Lead teams, provide technical expertise in pre-sales, and stay current with advancements in Conversational AI technologies at SADA India.
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SADA India
SADA India is seeking an experienced Contact Center and Conversational AI Architect with over 10 years of experience. The role involves designing and implementing AI-powered contact center solutions, leading development efforts, providing pre-sales support, mentoring team members, and staying updated on the latest advancements in Google Contact Center AI, Dialogflow CX, and Vertex AI. Success is measured through contributions, customer feedback, collaboration, and consultative skills. A customized development plan will be created for growth.
Join SADA India as an Architect - AI!
Your Mission
We are seeking a highly skilled and experienced Contact Center and Conversational AI Architect to join our team. The ideal candidate will possess over 10 years of experience in the field of Contact Center implementations, and more recently, Conversational AI, with substantial experience on at least one major cloud-based contact center platform, such as:
Google Contact Center AI Platform
Amazon Connect
Genesys Cloud CX
Nice CXone
Five9
The Architect will play a critical role in designing, implementing, and deploying AI-powered contact center solutions for our clients. They will be responsible for providing technical leadership, mentoring team members, and ensuring the successful delivery of projects.
Responsibilities:
Solution Design and Architecture: Design and architect end-to-end CCAI solutions, including CCaaS implementations, conversational AI flows, and integrations with backend systems
Hands-on Development: Lead and participate in the development of complex Conversational AI components, demonstrating hands-on expertise in building and deploying conversational AI solutions
Pre-Sales Support: Collaborate with sales teams to provide technical expertise during pre-sales activities, including solution demonstrations, proposals, and technical workshops
Team Leadership and Mentorship: Provide technical guidance and mentorship to junior engineers and developers, on best practices, and troubleshooting techniques fostering a culture of knowledge sharing and continuous improvement
Stay Up-to-Date: Maintain up-to-date knowledge of the latest advancements in Google Contact Center AI, Conversational Agents (Dialogflow CX), and Vertex AI Generative AI features and capabilities.
Pathway to Success
#MakeThemRave is at the foundation of every project our engineering teams take on. Our singular goal is to provide customers with the best possible experience in building, modernizing, and maintaining applications in the Google Cloud Platform.
Your success starts by positively impacting the direction of a dynamic practice with vision and passion. You will be measured quarterly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions.
As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks.
Required Qualifications:
Over 10 years of experience in IT, serving clients across North America, Canada, and EMEA regions.
Proven experience designing, building, and deploying contact center and conversational AI solutions.
Strong understanding of contact center operations, and technologies.
Excellent communication, presentation, and interpersonal skills.
Preferred Qualifications:
Familiarity with Agile development methodologies.
Industry certifications in relevant technologies.
Experience tuning applications for non-functional requirements, i.e., usability, maintainability, scalability, availability, security, portability, etc. Exposure to relational and NoSQL datastores Familiarity with frontend web technologies, particularly React or Angular Experience using cloud offerings and solutions (Google Cloud Platform, Microsoft Azure, or Amazon AWS)
