Neo4j Lead

Neo4j LeadLocation: Mettawa, IL (Onsite)Contract roleKey Responsibilities· Graph Architecture & Engineering: Architect, design, and scale Neo4j graph databases (and Knowledge Graphs) representing complex biomedical, formulary, and payer datasets.· Agentic AI Orchestration: Build autonomous AI agents using frameworks like LangGraph or CrewAI to automate market access queries, policy analysis, and competitive intelligence reporting.· Generative AI & RAG: Develop Graph-RAG (Retrieval-Augmented Generation) pipelines to ensure AI models generate highly accurate, compliant, and explainable insights regarding global drug pricing and market access.· Domain Leadership: Translate domain-specific pharma challenges (e.g., pricing, reimbursement, HEOR data, and payer policies) into actionable technical specifications.· Model Evaluation & MLOps: Implement LLMOps to continuously evaluate, monitor, and refine the reasoning and tool-calling capabilities of deployed AI agents.Core Technical Requirements· Graph Databases: Expert-level proficiency in Neo4j, Cypher query language, and graph data modeling.· GenAI & Agents: Hands-on experience with LLMs (GPT, Claude), vector databases (Pinecone, Weaviate), and agentic orchestration tools (LangChain, LangGraph, or AutoGen).· Programming: Strong backend development skills in Python (FastAPI) or Node.js.· Cloud Infrastructure: Experience deploying AI and graph solutions on AWS, GCP, or Azure.· Domain Knowledge: Deep understanding of the Pharmaceutical Market Access ecosystem (P&T Committees, formulary data, value dossiers, and HEOR).Qualifications & Experience· Education: B.S. or M.S. in Computer Science, Data Science, Bioinformatics, or a related field.· Experience: 8+ years in software/data engineering with at least 3+ years directly leading graph database projects and 2+ years building production-grade GenAI/Agentic AI systems.· Pharma Experience: Proven track record of delivering compliant, audit-ready AI solutions within the Life Sciences or Pharmaceutical industry.