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Invent Artificial Logo
AI Solutions Engineer (Snowflake & Generative AI)

Invent Artificial

 

Princeton, NJ, USA

Posted On: 6 days ago
Experience: 15+ years
Availability: Hybrid
Openings: 1
Category: Senior AI Solutions Engineer
Tenure: No Preference/Any
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Description

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

Education

Any Graduate

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