AI Solutions Lead / Architect
Healthcare/Pharma client via staffing partner · Remote
- Location
- Remote · Remote
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
Snowflake · Snowpark · Snowflake Cortex · Python · SQL · Generative AI · LLMs · RAG · AI Agents · Prompt Engineering · Semantic Modeling · Data Pipelines · OMOP · Claims Data · Clinical Trials Data · Commercial Pharma Analytics · Data Engineering · Agentic AI · Performance Optimization
About the role
Title: AI Solutions lead/ Architect Location: Remote Duration: Long Term Contract Must have Healthcare/Pharma exp. 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 • 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 • Commercial Pharma Analytics • Clinical Trials • Claims Data • OMOP Data Model
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