Senior AI Engineer - Nas Neuron

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.