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Niche senior role reduces applicants, but strong Tier‑1 brand increases competition to medium.
Conversational-AI and CCaaS skills transferable, but healthcare compliance and enterprise context increase domain specificity.
Multiple mandatory technical skills and explicit 9+ years requirement make shortlisting highly strict.
Own end-to-end delivery of Conversational AI platforms (Voice/Chat) ensuring predictable delivery, quality, and operational excellence.
Lead design, implementation, and adoption of AI-powered chatbot and voice bot solutions using cloud-native architectures, CI/CD, Terraform, and Shift-Left practices.
Mentor and develop engineering team; manage stakeholder communications and align technology execution with business outcomes.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
9+ years of software engineering experience with at least 2 years in technical or people leadership roles.
Hands-on experience with Amazon Lex, Google Dialogflow, and Google ADK for Conversational AI development.
Proficiency in CI/CD pipelines, Terraform, cloud-native architectures, and programming in Python, Node.js, or TypeScript.
Experienced leader in delivering complex enterprise Conversational AI applications integrating with CCaaS platforms.
Strong Agile delivery expertise with ability to manage priorities, risks, and cross-functional stakeholder relationships.
Technically proficient in AI adoption including Responsible AI and AI Development Lifecycle (AIDLC) with familiarity in LLMs, RAG, and Agentic AI frameworks.