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Strong brand, mid-level generalist role, metro location, and broad skillset increase applicant competition.
Role requires specialized contact-centre platform and conversational AI expertise, limiting cross-industry transferability.
Multiple explicit years, mandatory conversational AI, cloud, and platform certifications create strict filtering.
Lead design and architecture of end-to-end AI-driven contact centre transformation solutions involving chatbots, voice bots, and related automation.
Develop and optimize multilingual conversational AI, Gen AI-powered knowledge bases, agent assist, and auto quality audit systems using technologies like Genesys, Avaya, Amazon Connect, Google CCAI.
Lead DevOps and cloud-native deployment practices, ensure security/compliance, mentor junior developers, and align technical solutions with business goals.
4 to 7 years of work experience in relevant technologies and contact centre AI transformations.
Bachelor’s degree in Computer Science, Computer Engineering, Information Systems or related fields; MBA and advanced degrees also accepted.
Advanced Python programming (async and API development), experience with vector databases, embedding models, RAG pipelines, and knowledge retrieval systems.
Hands-on experience with contact centre platforms such as Genesys, Avaya, Amazon Connect, Google CCAI and cloud-native DevOps tools (Docker, Kubernetes, AWS, Azure, GCP).
Experienced in architecting and delivering enterprise-grade AI-powered contact centre solutions with measurable impact on operational efficiency.
Skilled at integrating multi-channel contact centre AI solutions with CRM, IVR, and backend APIs under security and compliance standards.
Technically proficient with modern software development practices, microservices, API-first design, and DevOps automation, capable of mentoring and leading technical teams.