AI Solutions Engineer (Snowflake & Generative AI)
Quick Overview
Job Description
Job Title: AI Solutions Engineer (Snowflake & Generative AI)
Location: Princeton, NJ Locals only
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
· 7+ 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.
Technical Skills
· Snowflake (Snowpark, Cortex, SQL)
· Python
· Generative AI / LLMs
· RAG & AI Agents
· Prompt Engineering
· Semantic Modeling
Nice-to-Have Experience
· Commercial Pharma Analytics
· Clinical Trials
· Claims Data
· OMOP Data Model
Skills
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