Overview
On Site
Depends on Experience
Full Time
Skills
Artificial Intelligence
Natural Language Processing
Google Cloud Platform
Python
Amazon Web Services
Autogen
HL7
ASC X12
LangChain
Docker
Orchestration
Job Details
- Define, design, and implement Agent-to-Agent (A2A) protocols to allow autonomous collaboration, negotiation, and task delegation between specialized agents (e.g. ClaimsAgent, EligibilityAgent, ProviderMatchAgent)
- At least 7 years of applied AI experience, especially in LLMs, transformer architectures, agents, or advanced NLP in applied settings
- Demonstrated hands-on experience building or deploying Agent-to-Agent protocols, multi-agent orchestration tools (LangGraph, AutoGen, CrewAI, or equivalent)
- Experience designing and operationalizing Model Context Protocol (MCP) or similar long-term memory & context systems for agents
- Strong software engineering skills in Python and proficiency in frameworks/libraries such as Hugging Face Transformers, PyTorch, LangChain, spaCy, etc.
- Domain knowledge in healthcare / benefits: claims systems, eligibility rules, clinical data, structured standards like FHIR, HL7, ICD/CPT, X12 EDI
- Cloud-native experience (AWS / Azure / Google Cloud Platform), containerization (Docker / Kubernetes), CI/CD, and deployment of model pipelines
- Excellent communication, problem-solving skills, and ability to engage across technical and domain teams
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.