Description

Primary Responsibilities

•       Design and develop AI-powered applications using Snowflake Cortex, Large Language Models (LLMs), and Agentic AI frameworks.

•       Build and optimize semantic models and AI-ready datasets for structured and unstructured data.

•       Design and automate data ingestion, transformation, orchestration, and refresh pipelines.

•       Integrate clinical, commercial, and external data sources into enterprise AI workflows.

•       Optimize Snowflake performance and ensure production-ready, maintainable solutions.

•       Support deployment, testing, and operationalization of AI solutions.

Required Qualifications

•       12+ years of experience in Data Engineering, AI Engineering, or Software Engineering.

•       Strong hands-on experience with Snowflake, including Snowpark, SQL, and performance optimization.

•       Experience developing Generative AI applications using LLMs, Prompt Engineering, RAG, AI Agents, and workflow orchestration.

•       Strong programming skills in Python.

•       Experience designing semantic data models and enterprise data pipelines.

Preferred Qualifications

•       Experience with Snowflake Cortex (Analyst, Search, Complete, Intelligence, Cortex Agents).

•       Experience with healthcare or life sciences data.

•       Experience with OMOP, claims data, clinical trial data, or commercial pharmaceutical data

Key Skills

Education

Bachelor’s degree