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Senior Data Scientist – AI Agents & LLM Architectures Job Opening In Los Angeles – Now Hiring Axelon Services Corporation


Job description


Job Title: Senior Data Scientist – AI Agents & LLM Architectures(Onsite)
Location: Woodland, Hills

Pay range: $ -$/hr

Overview

We are seeking a Senior Data Scientist with deep expertise in AI agent architectures, LLMs, and NLP to drive innovation in intelligent, interoperable healthcare platforms.

This role focuses on developing Agent-to-Agent (AA) protocols and Model Context Protocols (MCP) to enable context-aware, memory-augmented, and self-improving multi-agent systems across clinical, administrative, and benefits workflows.

Key Responsibilities

  • Design and implement Agent-to-Agent (AA) protocols for autonomous collaboration, negotiation, and task delegation between healthcare agents (, ClaimsAgent, EligibilityAgent, ProviderMatchAgent ).

  • Architect and operationalize Model Context Protocol (MCP) pipelines to support persistent, contextually grounded, multi-turn LLM interactions.

  • Build multi-agent orchestration systems with LLM-driven planning modules to optimize benefit processing, prior authorization, clinical summarization, and member engagement.

  • Fine-tune and integrate domain-specific LLMs and NLP models (, BioGPT, medical BERT) for document understanding, intent classification, and personalized plan recommendations.

  • Develop retrieval-augmented generation (RAG) systems and structured context libraries for grounding across structured standards (FHIR, ICD-) and unstructured data (EHR notes, chat logs).

  • Collaborate with engineering and data teams to deliver scalable, secure, and compliant agentic pipelines aligned with healthcare regulations (HIPAA, CMS, NCQA).

  • Lead research in memory-based agent systems, RLHF, and context-aware task planning.

  • Contribute to production deployment via robust MLOps pipelines (versioning, monitoring, continuous improvement).

  • Required Qualifications

  • Master’s or in Computer Science, Machine Learning, Computational Linguistics, or related field.

  • + years in applied AI, specializing in LLMs, transformers, NLP, or agent frameworks in healthcare.

  • Hands-on experience with Agent-to-Agent protocols and multi-agent frameworks (, LangGraph, AutoGen, CrewAI).

  • Practical expertise in Model Context Protocols (MCP) for modular, long-lived agent interactions.

  • Strong Python skills with ML/NLP libraries (Hugging Face Transformers, PyTorch, LangChain, spaCy).

  • Familiarity with healthcare benefits systems (plans, claims, eligibility rules).

  • Knowledge of healthcare data standards (FHIR, HL, ICD/CPT, X EDI).

  • Cloud-native development (AWS, Azure, or GCP) with Kubernetes, Docker, CI/CD.

  • Preferred Qualifications

  • Deep knowledge of MCP + VectorDB integration for dynamic agent memory and retrieval.

  • Prior experience deploying LLM-based agents at scale in healthcare.

  • Exposure to voice AI, automated care navigation, or AI triage systems.

  • Published research or patents in LLM architectures, contextual AI, or agent systems.


  • Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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