AI Solutions Engineer (Snowflake & Generative AI)

Job Title: AI Solutions Engineer (Snowflake & Generative AI)

Location: 1-2x onsite in Princeton, NJ- Locals or nearby drivable distance Only 

Need Pharma domain EXP

Exp level: 15+ years only 

Visa: USC, GC, EADs 

Role Title: Information Technology - US - Software Engineer III

Role Description: AI Solutions Engineer (Snowflake & Generative AI)

Position Summary

We are seeking a Senior AI Solutions Engineer to accelerate the development and productionalize of enterprise AI solutions within our Commercial Data & Analytics platform. This individual will be responsible for building AI-powered applications, semantic data models, and scalable data pipelines using Snowflake and modern Generative AI technologies.

The ideal candidate is a hands-on engineer with strong expertise in Snowflake, Python, SQL, and LLM-based application development who can quickly contribute to multiple high-priority AI initiatives.

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