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Tier-1 brand, mid-level experience, Bangalore metro, but niche conversational AI requirements moderate competition.
Role requires specialized contact-center and conversational AI expertise, limiting cross-industry transferability.
Explicit 4-8 years plus mandatory conversational AI, cloud, and DevOps skills.
Lead design and architecture of end-to-end contact centre transformation solutions leveraging advanced AI-driven automation including Voice Bots, Chatbots, and multilingual conversational AI.
Architect and implement Gen AI-powered knowledge bases (RAG), agent assist frameworks, and auto quality audit systems integrated with platforms like Genesys, Avaya, Amazon Connect, and Google CCAI.
Drive development using Python and Node.js with microservices and API-first design; lead DevOps practices including CI/CD pipelines, cloud-native deployments, and ensure compliance with security and scalability standards.
4 to 8 years of work experience in contact centre transformation or AI-driven automation development.
Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or related field (BE/BTech/MCA/MTech/MBA).
Expertise in Python programming (including async programming and API development) and Node.js; proficiency in microservices and API-first design.
Experience with contact centre platforms (Genesys, Avaya, Amazon Connect, Google CCAI), conversational AI tools (Kore.ai, Yellow.ai, Azure Cognitive Services, AWS Lex), plus DevOps/cloud technologies (Docker, Kubernetes, AWS, Azure, GCP).
Experienced in architecting large-scale, AI-driven contact centre transformation projects with measurable operational impact.
Proficient with generative AI, RAG knowledge bases, prompt engineering, and advanced LLM optimization techniques.
Skilled in integrating complex enterprise systems (IVR, CRM, ticketing) and leading technology teams using modern DevOps and cloud-native practices.