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Jobs via Dice, Woodland Hills, North Carolina, United States
Senior Data Scientist AI Agent Systems – Woodland Hills, CA, Onsite
1 day ago Be among the first 25 applicants Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cogent IBS, Inc, is seeking the following. Apply via Dice today! Overview
We are seeking a highly skilled
Senior Data Scientist
with deep expertise in
AI agent architectures, large language models (LLMs), and NLP systems
to lead the development of next-generation, multi-agent AI solutions in the healthcare domain. This role will focus on designing agent-to-agent (A2A) communication protocols, operationalizing Model Context Protocol (MCP) pipelines, and deploying production-ready AI agents for mission-critical healthcare workflows. Key Responsibilities
Design & Architect Multi-Agent Systems: Build and implement Agent-to-Agent (A2A) protocols enabling autonomous collaboration, negotiation, and task delegation between specialized AI agents (e.g., ClaimsAgent, EligibilityAgent, ProviderMatchAgent). Operationalize Context Pipelines: Architect and deploy Model Context Protocol (MCP) pipelines that support persistent, memory-augmented, context-rich LLM interactions for complex, multi-turn healthcare use cases. Develop Domain-Specific Intelligence: Fine-tune and integrate specialized LLMs and NLP models (e.g., medical BERT, BioGPT) for document understanding, intent classification, and personalized recommendations. Build Knowledge-Enhanced AI Systems: Design and implement retrieval-augmented generation (RAG) solutions and structured knowledge libraries to dynamically ground agent responses using both structured (FHIR/ICD-10) and unstructured data sources (EHR notes, chat logs). Engineer for Scale & Compliance: Collaborate with data engineers and solution architects to develop scalable, secure, and compliant agentic pipelines aligned with HIPAA, CMS, and NCQA standards. Innovate in AI Research: Lead research initiatives in context-aware agents, memory-based reasoning, RLHF (reinforcement learning with human feedback), and long-lived conversational agents. Drive Production Deployment: Contribute to robust MLOps pipelines for model versioning, performance monitoring, and continuous improvement in real-world deployments. Required Qualifications
Master’s or Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or related field. 7+ years of hands-on experience in applied AI, focusing on LLMs, transformers, NLP, or agent frameworks in healthcare. Proven expertise in A2A protocol design, LangGraph, AutoGen, CrewAI, or similar multi-agent orchestration platforms. Strong practical knowledge of Model Context Protocols (MCP) for persistent conversational memory and modular agent interactions. Advanced coding skills in Python with proficiency in Hugging Face Transformers, PyTorch, LangChain, spaCy, or similar ML/NLP libraries. In-depth understanding of healthcare data standards such as FHIR, HL7, ICD/CPT, X12 EDI. Experience with cloud-native development on AWS, Azure, or Google Cloud Platform, including Kubernetes, Docker, and CI/CD. Familiarity with healthcare data workflows including benefit plan structures, claims processing, and eligibility validation. Preferred Qualifications
Expertise in MCP + VectorDB integration for dynamic agent memory and retrieval. Experience deploying LLM-based agent systems in production or at scale in healthcare settings. Prior work with voice AI, conversational navigation systems, or AI-based triage tools. Published research, patents, or open-source contributions in agent architectures, LLM orchestration, or contextual AI systems. Must-Have Skills
AI agent architectures, A2A protocols, MCP — 7+ years LLMs and NLP (medical BERT, BioGPT, etc.) — 7+ years Retrieval-Augmented Generation (RAG) — 7+ years Python & ML/NLP libraries — 7+ years Healthcare data standards (FHIR, HL7, ICD/CPT, X12 EDI) — 7+ years Cloud & DevOps (AWS, Azure, Google Cloud Platform, Kubernetes, Docker, CI/CD) — 7+ years Assigned Job Details
Job Title:
Senior Data Scientist AI Agent Systems Location:
Woodland Hills, CA, Onsite Rate:
Best competitive rate About The Role
We are seeking a highly skilled
Senior Data Scientist
with deep expertise in
AI agent architectures, large language models (LLMs), and NLP systems
to lead the development of next-generation, multi-agent AI solutions in the healthcare domain. This role will focus on designing agent-to-agent (A2A) communication protocols, operationalizing Model Context Protocol (MCP) pipelines, and deploying production-ready AI agents for mission-critical healthcare workflows. The ideal candidate is a seasoned AI professional who thrives on solving complex challenges at the intersection of
LLMs, contextual memory, multi-agent orchestration, and healthcare data systems . Note: This description includes references to a role and submission format as provided by the recruiter. Interviews are in progress and urgent responses are appreciated. Referrals increase your chances of interviewing at Jobs via Dice by 2x. Get notified about new Senior Data Scientist jobs in
Woodland Hills, NC . Georgia Tech Fall 2025 Recruiting (Full-Time Positions) ServiceNow Developer / Charlotte / Hybrid Experienced Software Engineer (Hybrid - Salesforce) Charlotte, NC $91,000 - $123,000 2 weeks ago Cooks Crossing, NC $115,000 - $135,000 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. Note: No changes to the substantive job information; this refinement focuses on clean, standards-compliant formatting while preserving the original content.
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1 day ago Be among the first 25 applicants Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cogent IBS, Inc, is seeking the following. Apply via Dice today! Overview
We are seeking a highly skilled
Senior Data Scientist
with deep expertise in
AI agent architectures, large language models (LLMs), and NLP systems
to lead the development of next-generation, multi-agent AI solutions in the healthcare domain. This role will focus on designing agent-to-agent (A2A) communication protocols, operationalizing Model Context Protocol (MCP) pipelines, and deploying production-ready AI agents for mission-critical healthcare workflows. Key Responsibilities
Design & Architect Multi-Agent Systems: Build and implement Agent-to-Agent (A2A) protocols enabling autonomous collaboration, negotiation, and task delegation between specialized AI agents (e.g., ClaimsAgent, EligibilityAgent, ProviderMatchAgent). Operationalize Context Pipelines: Architect and deploy Model Context Protocol (MCP) pipelines that support persistent, memory-augmented, context-rich LLM interactions for complex, multi-turn healthcare use cases. Develop Domain-Specific Intelligence: Fine-tune and integrate specialized LLMs and NLP models (e.g., medical BERT, BioGPT) for document understanding, intent classification, and personalized recommendations. Build Knowledge-Enhanced AI Systems: Design and implement retrieval-augmented generation (RAG) solutions and structured knowledge libraries to dynamically ground agent responses using both structured (FHIR/ICD-10) and unstructured data sources (EHR notes, chat logs). Engineer for Scale & Compliance: Collaborate with data engineers and solution architects to develop scalable, secure, and compliant agentic pipelines aligned with HIPAA, CMS, and NCQA standards. Innovate in AI Research: Lead research initiatives in context-aware agents, memory-based reasoning, RLHF (reinforcement learning with human feedback), and long-lived conversational agents. Drive Production Deployment: Contribute to robust MLOps pipelines for model versioning, performance monitoring, and continuous improvement in real-world deployments. Required Qualifications
Master’s or Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or related field. 7+ years of hands-on experience in applied AI, focusing on LLMs, transformers, NLP, or agent frameworks in healthcare. Proven expertise in A2A protocol design, LangGraph, AutoGen, CrewAI, or similar multi-agent orchestration platforms. Strong practical knowledge of Model Context Protocols (MCP) for persistent conversational memory and modular agent interactions. Advanced coding skills in Python with proficiency in Hugging Face Transformers, PyTorch, LangChain, spaCy, or similar ML/NLP libraries. In-depth understanding of healthcare data standards such as FHIR, HL7, ICD/CPT, X12 EDI. Experience with cloud-native development on AWS, Azure, or Google Cloud Platform, including Kubernetes, Docker, and CI/CD. Familiarity with healthcare data workflows including benefit plan structures, claims processing, and eligibility validation. Preferred Qualifications
Expertise in MCP + VectorDB integration for dynamic agent memory and retrieval. Experience deploying LLM-based agent systems in production or at scale in healthcare settings. Prior work with voice AI, conversational navigation systems, or AI-based triage tools. Published research, patents, or open-source contributions in agent architectures, LLM orchestration, or contextual AI systems. Must-Have Skills
AI agent architectures, A2A protocols, MCP — 7+ years LLMs and NLP (medical BERT, BioGPT, etc.) — 7+ years Retrieval-Augmented Generation (RAG) — 7+ years Python & ML/NLP libraries — 7+ years Healthcare data standards (FHIR, HL7, ICD/CPT, X12 EDI) — 7+ years Cloud & DevOps (AWS, Azure, Google Cloud Platform, Kubernetes, Docker, CI/CD) — 7+ years Assigned Job Details
Job Title:
Senior Data Scientist AI Agent Systems Location:
Woodland Hills, CA, Onsite Rate:
Best competitive rate About The Role
We are seeking a highly skilled
Senior Data Scientist
with deep expertise in
AI agent architectures, large language models (LLMs), and NLP systems
to lead the development of next-generation, multi-agent AI solutions in the healthcare domain. This role will focus on designing agent-to-agent (A2A) communication protocols, operationalizing Model Context Protocol (MCP) pipelines, and deploying production-ready AI agents for mission-critical healthcare workflows. The ideal candidate is a seasoned AI professional who thrives on solving complex challenges at the intersection of
LLMs, contextual memory, multi-agent orchestration, and healthcare data systems . Note: This description includes references to a role and submission format as provided by the recruiter. Interviews are in progress and urgent responses are appreciated. Referrals increase your chances of interviewing at Jobs via Dice by 2x. Get notified about new Senior Data Scientist jobs in
Woodland Hills, NC . Georgia Tech Fall 2025 Recruiting (Full-Time Positions) ServiceNow Developer / Charlotte / Hybrid Experienced Software Engineer (Hybrid - Salesforce) Charlotte, NC $91,000 - $123,000 2 weeks ago Cooks Crossing, NC $115,000 - $135,000 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. Note: No changes to the substantive job information; this refinement focuses on clean, standards-compliant formatting while preserving the original content.
#J-18808-Ljbffr