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Senior, niche Conversational AI role but strong employer brand and metro location raise applicant density to medium.
Healthcare regulatory requirements and MLR/HIPAA compliance make background fit highly industry-specific.
Mandatory 8+ years, specific LLM/RAG, vector DB, cloud and compliance requirements make filters highly stringent.
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Lead architecture and delivery of enterprise-grade Conversational AI and Generative AI solutions for patient support, healthcare professionals, and researchers globally.
Own design and implementation of compliant, high-availability microservices and low-code chatbot orchestration platforms ensuring 99.9% uptime and scalability.
Manage cross-functional engineering teams to embed AI-driven, MLR-compliant conversational intelligence grounded in approved medical literature.
Bachelor’s degree in computer science, Information Technology, or related field.
Minimum 8+ years of experience in Conversational AI, Agentic AI, or Generative AI platform engineering.
Proven experience with Retrieval-Augmented Generation (RAG), LLM orchestration (GPT, Claude, LLaMA), and compliance with healthcare regulations such as HIPAA.
Technical skills: Python, Node.js, JavaScript, cloud platforms (AWS, Azure), DevOps tools (Docker, Kubernetes), vector databases (Pinecone, Weaviate), relational/NoSQL databases (MongoDB, PostgreSQL).
Experienced leader capable of driving cross-functional teams in a regulated, compliance-driven pharmaceutical/healthcare environment.
Deep expertise in architecting scalable Conversational AI platforms with a strong emphasis on medical literature grounding and AI governance.
Strong technical operator with hands-on skills in AI/ML model training, prompt engineering, cloud microservices, and secure data handling for patient-facing solutions.