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# AI Engineer with Snowflake

- **Company:** Virtual, Inc.
- **Location:** Plainsboro Township, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, ARM Architecture, Cloud Computing, Python (Programming Language), Tensorflow, SQL Databases, Cloud Platform System, Pytorch, Large Language Models, Snowflake, Multi-Agent Systems, Generative AI, Build Management, Scikit Learn, Streamlit Framework
- **Published:** August 30, 2026
- **Apply:** https://www.disabledperson.com/jobs/74631310-ai-engineer-with-snowflake

## About the Role

* Experience: 10-12 years in technical roles, with a heavy emphasis on Data Science and AI engineering.

 * Snowflake Proficiency: Strong technical understanding of Snowflake's engine, specifically how to optimize it for AI/ML workloads (Snowpark, Python UDFs, and Streamlit).

 * AI/ML Depth: Deep understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and building Agentic systems that can execute tasks autonomously.

 * Data Science Toolkit: Expert-level Python/SQL and experience with frameworks like PyTorch, TensorFlow, or Scikit-learn integrated into cloud environments.

 * Industry Context: Previous experience handling Pharma, Marketing, or Finance data is essential.

## Description

* Hands-on AI Development: Build and deploy production-ready AI models and Agentic frameworks directly within the Snowflake Data Cloud.

 * Snowflake AI Expertise: Leverage Snowflake Cortex AI, Document AI, and Snowpark ML to create automated, intelligent data solutions.

 * Technical Leadership: Act as the "Lead of Leads" for the offshore team. You aren't just giving directions-you are reviewing code, troubleshooting complex bugs, and ensuring the team understands the why behind the tech.

 * Strategic Fix Management: Balance the need for quick tactical fixes to keep demanding customers happy with the implementation of robust, long-term technical fixes that ensure system scalability.


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