AI agent architectures || California Local

Overview

On Site
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - LONG TERM

Skills

HL7
FHIR
ICD
Senior Data Scientist
AI Scientist
ML Scientist
LLMNLP
CPT

Job Details

Job Title: Senior Data Scientist (AI Agents / LLMs / Healthcare)

Location: Woodland Hills, CA (Onsite, M-F)

About the Role

We are seeking a highly experienced Senior Data Scientist with deep expertise in AI agent architectures, Large Language Models (LLMs), and NLP to join our team. This role will focus on designing and implementing agent-to-agent (A2A) protocols, Model Context Protocols (MCP), and retrieval-augmented generation (RAG) systems for large-scale healthcare applications. The ideal candidate will combine strong technical depth in AI/ML with domain knowledge of healthcare data standards to build scalable, secure, and intelligent agent-driven solutions.

Key Responsibilities

  • Architect and implement Agent-to-Agent (A2A) protocols for autonomous collaboration between AI agents.

  • Design and operationalize Model Context Protocols (MCP) for long-lived, memory-augmented LLM interactions.

  • Develop and fine-tune LLMs and NLP models (e.g., BioGPT, Medical BERT) for healthcare-specific use cases.

  • Build retrieval-augmented generation (RAG) systems for dynamic knowledge grounding from structured and unstructured sources.

  • Collaborate with engineers to integrate AI agents into clinical, claims, and member engagement workflows.

  • Ensure compliance with healthcare regulations (HIPAA, CMS, NCQA) while building secure AI pipelines.

  • Implement MLOps pipelines for deployment, monitoring, and continuous model improvement.

  • Contribute to research and prototyping of advanced LLM-based agent systems.

Required Skills & Experience

  • 12 15 years overall experience, with at least 7+ years in AI/ML/NLP.

  • Strong hands-on experience in LLMs, NLP, and agent architectures.

  • Expertise in A2A protocols and Model Context Protocols (MCP).

  • Proven experience with retrieval-augmented generation (RAG) frameworks.

  • Python proficiency with ML/NLP libraries (PyTorch, Hugging Face, LangChain, spaCy, etc.).

  • Deep understanding of healthcare data standards (FHIR, HL7, ICD, CPT, X12 EDI).

  • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Kubernetes, Docker, CI/CD).

  • Strong knowledge of healthcare systems: claims, benefits, member data, and EHR integrations.

Preferred Qualifications

  • Experience integrating VectorDB with MCP for contextual memory retrieval.

  • Prior work on production-grade LLM-based agents in healthcare.

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

  • Published research or patents in AI agents, LLMs, or contextual AI frameworks.

  • Master's/Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or related field.

E: |

USA | Canada | UK | India

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