Data Scientist

Must have Model Context Protocols exp. within healthcare vertical Will have a AI based tech screen via Glider tool to Validate all skills Overview: Client is looking for experienced /Senior Data Scientist with deep expertise in AI agent architectures, LLMs, NLP, and hands-on development experience with A2A Protocols and Model Context Protocols (MCP). This role is integral in building interoperable, context-aware, and self-improving agents that interact across clinical, administrative, and benefits platforms. Must have previously architected & operationalized Model Context Protocol (MCP) pipelines that ensure persistent, memory-augmented, and contextually grounded LLM interactions across multi-turn healthcare use cases. 1. Requirements:Must have 7-10 yrs exp designing & implementing Agent-to-Agent (A2A) protocols enabling autonomous collaboration, negotiation, and task delegation between specialized AI agents (e.g., ClaimsAgent, EligibilityAgent, ProviderMatchAgent). 1. Must have a deep understanding of MCP + VectorDB integration for dynamic agent memory and retrieval. 1. Must have Prior exp architecting & operationalizing Model Context Protocol (MCP) pipelines that ensure persistent, memory-augmented, and contextually grounded LLM interactions across multi-turn healthcare use cases. 1. Should have exp building intelligent multi-agent systems orchestrated by LLM-driven planning modules to streamline benefit processing, prior authorization, clinical summarization, and member engagement. 1. Should have exp. fine-tuning & integrating domain-specific LLMs and NLP models (e.g., medical BERT, BioGPT) for complex document understanding, intent classification, and personalized plan recommendations. 1. Prior exp. collaborating with engineers and data architects to build scalable agentic pipelines that are secure, explainable, and compliant with healthcare regulations (HIPAA, CMS, NCQA).