AI Solutions Engineer
Role details
Job location
Tech stack
Job description
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
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Design and develop AI-powered applications using Snowflake Cortex, Large Language Models (LLMs), and Agentic AI frameworks.
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Build and optimize semantic models and AI-ready datasets for structured and unstructured data.
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Design and automate data ingestion, transformation, orchestration, and refresh pipelines.
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Integrate clinical, commercial, and external data sources into enterprise AI workflows.
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Optimize Snowflake performance and ensure production-ready, maintainable solutions.
Requirements
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7+ years of experience in Data Engineering, AI Engineering, or Software Engineering.
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Strong hands-on experience with Snowflake, including Snowpark, SQL, and performance optimization.
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Experience developing Generative AI applications using LLMs, Prompt Engineering, RAG, AI Agents, and workflow orchestration.
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Strong programming skills in Python.
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Experience designing semantic data models and enterprise data pipelines.
Preferred Qualifications
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Experience with Snowflake Cortex (Analyst, Search, Complete, Intelligence, Cortex Agents).
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Experience with healthcare or life sciences data.
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Experience with OMOP, claims data, clinical trial data, or commercial pharmaceutical data.
Technical Skills
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Snowflake (Snowpark, Cortex, SQL)
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Python
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Generative AI / LLMs
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RAG & AI Agents
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Prompt Engineering
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Semantic Modeling
Nice-to-Have Experience
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Commercial Pharma Analytics
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Clinical Trials
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Claims Data
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OMOP Data Model