About the role
Responsibilities Develop, train, evaluate and deploy machine learning models for claims, network, operations, finance and client functions Build generative AI and LLM solutions including RAG, document intelligence and agent workflows Design and maintain scalable data pipelines across sources, warehouses and cloud environments Deploy AI solutions with Flask, FastAPI and Docker for production use Build and maintain Power BI dashboards and analytical data products Work directly with business teams to frame problems, prototype and drive adoption Monitor and troubleshoot model and pipeline performance in production Ensure compliance with data security, privacy and AI governance policies Requirements 8+ years in machine learning engineering, data science or data engineering Production ML and AI deployment experience Python, SQL, Git, Docker, Kubernetes, FastAPI, REST APIs Azure, Snowflake and Power BI experience LLM solutions: prompt engineering, RAG, embeddings, vector stores, agent frameworks Scikit-learn, XGBoost/LightGBM, PyTorch or TensorFlow, pandas, NumPy ETL/ELT, real-time and batch data processing, data modeling Statistical methods: regression, classification, time series, A/B testing Agile/Scrum delivery experience Bachelor's or master's degree in computer science, engineering, mathematics, statistics or related field Preferred Qualifications Healthcare, insurance or third party administration experience Relevant ML, AI, cloud or data engineering certifications Management or technology consulting background About the Company The Cigna Group improves the health and vitality of those it serves through Cigna Healthcare and Evernorth Health Services.