AI Engineer- Snowflake

Virtual Labs; Plainsboro Township (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

Virtual Labs in Plainsboro, NJ, seeks a senior AI engineering leader to drive hands-on development of production-grade AI models and agentic systems within Snowflake Data Cloud. You will leverage Cortex AI, Document AI, and Snowpark ML to deliver scalable data solutions for pharma, marketing, and finance datasets.

The role requires 10–12 years in technical roles with deep AI/ML expertise, Python/SQL mastery, and experience with PyTorch, TensorFlow, and Scikit-learn in cloud environments.

Qualifications

• 10–12 years in technical roles with emphasis on Data Science and AI engineering.

Responsibilities

• Hands-on AI development: build and deploy production-ready AI models and agentic frameworks within Snowflake Data Cloud.
• Leverage Snowflake Cortex AI, Document AI, and Snowpark ML for automated data solutions.
• Lead offshore team: review code, troubleshoot bugs, ensure understanding of tech decisions.

Skills

Data science

AI engineering

Python programming

SQL

LLMs

RAG

Technical leadership

Cloud AI

Tools

Snowflake

Snowpark

Python UDFs

Streamlit

PyTorch

TensorFlow

Scikit-learn

Job description

Location: Plainsboro NJ ( 4 days Office)

Need profiles from near by states only ( PA,NJ, CT, NY, DE, MD)

Core Responsibilities

• 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.
• Domain Alignment: Apply data science methodologies to solve specific problems in Pharma Commercial and Sales (e.g., patient longitudinal data, HCP targeting, and marketing ROI).

Technical Requirements

• 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.