RCI-UST-19419-1 Senior Data Scientist

Job Code : RCI-UST-19419-1 Job Title: Senior Data Scientist Location: Woodland Hills, CA, US 91367 Duration: 06 Month extension possible based on needs and performance Onsite need technically strong candidates • AI agent architectures, LLMs, NLP developing A2A Protocols and Model Context Protocols (MCP) • LLMs and NLP models (e.g., medical BERT, BioGPT) • retrieval-augmented generation (RAG) • coding experience in Python, with proficiency in ML/NLP libraries • healthcare data standards like FHIR, HL7, ICD/CPT, X12 EDI formats. • AWS, Azure, or GCP including Kubernetes, Docker, and CI/CD Domain Experience (If any ) – Good to have healthcare experience Description • We are hiring a 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. Key Responsibilities • Design and implement Agent-to-Agent (A2A) protocols enabling autonomous collaboration, negotiation, and task delegation between specialized AI agents (e.g., Claims Agent, Eligibility Agent, Provider Match Agent). • Architect and operationalize Model Context Protocol (MCP) pipelines that ensure persistent, memory-augmented, and contextually grounded LLM interactions across multi-turn healthcare use cases. • Build intelligent multi-agent systems orchestrated by LLM-driven planning modules to streamline benefit processing, prior authorization, clinical summarization, and member engagement. • Fine-tune and integrate domain-specific LLMs and NLP models (e.g., medical BERT, Bio GPT) for complex document understanding, intent classification, and personalized plan recommendations.