Senior AI & Data Scientist: Enterprise LLM & MLOps

Ampcus Inc; New Haven (CT); On-site; USD 140,000 - 190,000; Full time

Job summary

Ampcus Inc. seeks a Senior Applied AI & Data Scientist to design, build, evaluate, and deploy AI-powered solutions across Life Insurance, Investments, Membership, and Charities.

This senior individual contributor role blends analytics, ML, and generative AI within an enterprise-grade data ecosystem. You will collaborate with stakeholders, data engineers, and AI architects to translate complex questions into explainable, production-ready capabilities using Snowflake, PostgreSQL, and approved AI

Qualifications

• Proficient in Python and SQL with data science best practices.
• Hands-on ML experience with common libraries (scikit-learn, XGBoost, PyTorch/TensorFlow).
• Experience with Snowflake platforms and relational databases (PostgreSQL).
• Familiar with vector search, retrieval patterns, and knowledge retrieval.
• Experience collaborating with engineers on production services, APIs, and CI/CD.

Responsibilities

• Own end-to-end delivery of AI solutions from framing to production deployment.
• Design and deliver LLM-enabled analytics and RAG capabilities over enterprise data.
• Build agentic workflows and orchestration for automation of business processes.
• Develop models for insurance, actuarial, claims, risk, and investment decisions.
• Define evaluation plans and monitor model performance and safety.

Skills

Python

SQL

ML libraries

Vector search

CI/CD

Tools

Snowflake

Snowpark/Cortex

PostgreSQL

Vector databases

Job description

Ampcus Inc. seeks a Senior Applied AI & Data Scientist to design, build, evaluate, and deploy AI-powered solutions across Life Insurance, Investments, Membership, and Charities.

This senior individual contributor role blends analytics, ML, and generative AI within an enterprise-grade data ecosystem. You will collaborate with stakeholders, data engineers, and AI architects to translate complex questions into explainable, production-ready capabilities using Snowflake, PostgreSQL, and approved AI