AI Solutions Engineer/Architect (Snowflake & Generative AI)
- Source: LinkedIn
- Dale WorkForce Solutions
- Remote
- Princeton
- Mid level
Job Description
Client: global pharmaceutical company
Job: GenAI Solutions Engineer/Architect (Snowflake & Generative AI)
Location: 100% Remote, from anywhere in the US
Job type: 6-month contract Position
Position Summary We are seeking a Senior AI Solutions Engineer to accelerate the development and production 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
Experience With 1 Of The Below Is Required
- Commercial Pharma Analytics
- Clinical Trials
- Claims Data
- OMOP Data Model
Skills
- Snowflake
- Python
- cortex
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