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Strong pharma brand and Hyderabad metro increase applicant density, balanced by niche senior Conversational AI requirements.
High because healthcare regulatory and MLR/HIPAA expertise and domain-specific grounding make skills less transferable across industries.
High due to mandatory 8+ years, deep Conversational AI/LLM tech stack, and regulated HIPAA/MLR compliance requirements.
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Lead technical strategy and end-to-end engineering for enterprise-grade Conversational AI and Generative AI platforms supporting patient and healthcare professional engagement globally.
Architect and deliver low-code chatbot orchestration platforms, compliant RAG-based middleware, and high-availability microservices with 99.9% uptime for multiple patient support programs.
Manage and mentor cross-functional engineering teams to integrate AI innovation with regulatory compliance and user experience in a healthcare setting.
Bachelors degree in computer science, Information Technology, or related field.
8+ years of experience in Conversational AI, Agentic AI, or Generative AI platform engineering.
Proven hands-on experience architecting RAG-based systems, LLM orchestration, and compliance with medical legal regulatory (MLR) standards, including HIPAA.
Proficiency with Python, Node.js, JavaScript, cloud platforms (AWS/Azure), microservices architectures, vector and NoSQL/relational databases, and DevOps tools (Docker, Kubernetes).
Experienced leader capable of managing cross-functional agile teams within regulated, compliance-driven healthcare environments.
Strong technical background in advanced Conversational AI including LLMs (GPT, Claude, LLaMA), LangChain, prompt engineering, and RAG implementations for patient-facing solutions.
Strategic thinker with proven ability to integrate AI innovation, compliance frameworks, and scalable cloud infrastructure to deliver enterprise conversational platforms.