AI Solutions Engineer (Snowflake & Generative AI)

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

Location: Princeton, NJ(Hybrid)- Locals or nearby drivable distance Only

Exp level: 15+ years

Visa: and EADs 

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
•       8+ 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