Senior Applied AI & Data Scientist Location: Prefer hybrid at New Haven, CT office but open to 100% remote Employment Type: Direct Hire / Full-Time Role Overview: Seeking a Senior Applied AI & Data Scientist to design, develop, and deploy enterprise AI, Machine Learning, and Generative AI solutions. The role focuses on building production-ready LLM, RAG, and Agentic AI applications, advanced analytics, and predictive models to support Life Insurance, Investments, Membership, and Charitable business functions.

Key Responsibilities

Lead end-to-end AI/ML solution development, from data analysis to production deployment. Build LLM, Generative AI, RAG, and Agentic AI solutions using enterprise data. Develop machine learning and statistical models for insurance, actuarial, claims, risk, and investment functions. Build feature pipelines, embeddings, vector search, and knowledge retrieval solutions. Establish model evaluation, monitoring, performance tracking, and CI/CD processes. Implement responsible AI practices, including bias detection, transparency, and governance. Collaborate with business stakeholders, data engineers, and architects to deliver scalable AI solutions. Must-Have Requirements: 6+ years of experience in Data Science, Advanced Analytics, and Machine Learning, including production deployment. 2+ years of enterprise GenAI/LLM experience (RAG, AI Agents, Evaluation, Guardrails). Strong Python and SQL skills. Hands-on Snowflake (Snowpark/Cortex) and PostgreSQL experience. Experience with ML frameworks such as Scikit-learn, XGBoost, PyTorch, or TensorFlow. Experience with Vector Databases, Embeddings, and Hybrid Search. Experience deploying production AI services, APIs, monitoring, and CI/CD. Preferred Qualifications: Financial services experience (Life Insurance, Annuities, or Investments). Experience with IBM DB2, Talend, and legacy-to-cloud modernization. Familiarity with MLflow, Docker, FastAPI, or Flask.