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Medium — senior, niche Conversational AI role but metro location and broad skillset attract moderate competition.
High — specialized conversational AI and regulated healthcare (MLR/HIPAA) experience needed, limiting cross-industry transferability.
High — explicit 8+ years, mandatory LLM/RAG/vector DB expertise, HIPAA compliance and leadership requirements.
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Lead architecture and delivery of enterprise-grade Conversational AI and Generative AI solutions for patients, healthcare professionals, and researchers globally.
Manage and mentor cross-functional engineering teams to build compliant, scalable AI platforms including low-code chatbot orchestrators and high-availability microservices with 99.9% uptime.
Drive development of Retrieval-Augmented Generation (RAG)-based middleware and intelligent escalation engines ensuring MLR compliance and integration with medical literature and regulatory standards.
Bachelor’s degree in computer science, Information Technology, or related field.
8+ years of experience in Conversational AI, Agentic AI, or Generative AI platform engineering.
Proven expertise in designing and implementing RAG-based systems and compliance with healthcare regulations including HIPAA and MLR.
Proficiency with LLMs (GPT, Claude, LLaMA), LangChain, Python, Node.js, JavaScript, cloud platforms (AWS, Azure), and microservices architecture supporting scalable, compliant healthcare applications.
Experienced in regulated, compliance-driven healthcare or pharmaceutical environments with demonstrated success in delivering enterprise Conversational AI solutions.
Strong leadership skills with ability to manage cross-functional engineering teams and align AI innovation with regulatory and user experience requirements.
Technical operator comfortable with AI infrastructure design, middleware, LLM orchestration, and integration of AI workflows across cloud platforms in healthcare settings.