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Strong employer brand and metro Hyderabad increase applicant density, but specialized AI compliance skills limit competition.
Requires deep conversational AI plus healthcare MLR/HIPAA expertise, limiting cross-industry transferability.
Mandated 8+ years, LLM/RAG expertise, healthcare compliance, and specific tech stack create stringent screening.
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Lead architecture and engineering of enterprise-grade Conversational AI platforms including low-code chatbot orchestrators and compliant middleware for patient and healthcare professional engagement globally.
Develop and maintain scalable, highly available microservices and AI-powered workflows integrating with medical knowledge repositories ensuring MLR regulatory compliance and HIPAA security.
Manage cross-functional teams in agile environments to deliver compliant, innovative AI solutions grounded in approved medical literature with operational responsibility for 99.9% uptime.
Bachelor’s degree in Computer Science, Information Technology, or related field.
8+ years experience in Conversational AI, Agentic AI, or Generative AI platform engineering.
Proven expertise architecting RAG-based systems with demonstrated regulatory (MLR) compliance outcomes.
Strong skills in Python, Node.js, JavaScript; experience with LLMs (GPT, Claude, LLaMA), LangChain, Hugging Face; and cloud platforms (AWS, Azure) with high availability microservices.
Experienced leader able to manage cross-functional engineering teams delivering AI platforms in regulated healthcare or pharmaceutical domains.
Technically deep in Agentic AI, Retrieval-Augmented Generation, semantic search, and AI compliance frameworks suited for patient-facing solutions.
Operates effectively in agile, compliance-driven environments with strong stakeholder management and ability to translate medical literature into AI-driven conversational capabilities.