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Senior, niche conversational AI role with healthcare compliance reduces applicant density.
Strong healthcare compliance and MLR constraints limit transferability across industries.
Multiple mandatory filters: 8+ years, RAG/LLM expertise, healthcare compliance, and specific tech stack.
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Lead architecture and delivery of enterprise-grade Conversational AI and Generative AI solutions supporting patients, healthcare professionals, and researchers globally.
Design and implement compliant low-code/no-code chatbot orchestration platforms, RAG-based middleware, and scalable microservices ensuring high availability (99.9% uptime).
Manage and mentor cross-functional engineering teams, setting standards for AI innovation intersecting with regulatory compliance and user experience.
Bachelor’s degree in Computer Science, IT, or related field.
8+ years of experience in Conversational AI, Agentic AI, or Generative AI platform engineering.
Proven expertise in architecting RAG-based systems with regulatory compliance (MLR) experience.
Technical skills in LLMs (GPT, Claude, LLaMA), LangChain, Python, Node.js, cloud platforms (AWS/Azure), and familiarity with HIPAA compliance.
Experienced leader in building and scaling enterprise conversational AI platforms in regulated healthcare or life sciences environments.
Strong technical background combining AI innovation with compliance governance and secure patient data handling.
Operational mindset focused on delivering scalable, fault-tolerant microservices and compliant, user-centric AI-driven patient/HCP engagement solutions.