Description

Experience: 12+ Years Required
PRIMARY RESPONSIBILITIES
Design and develop AI-powered applications using Snowflake Cortex, 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 develop scalable, production-ready solutions.
Support AI solution deployment, testing, monitoring, operationalization, and continuous improvement.
Collaborate with data engineering, analytics, business, and technology teams to deliver enterprise AI capabilities.

REQUIRED QUALIFICATIONS
12+ years of experience in Data Engineering, AI Engineering, or Software Engineering
Strong hands-on Snowflake experience
Expertise in Snowpark, SQL, and Snowflake performance optimization
Hands-on experience developing Generative AI / LLM applications
Strong experience with Prompt Engineering, RAG, AI Agents, and workflow orchestration
Advanced Python programming skills
Experience designing semantic data models
Strong experience developing enterprise-scale data pipelines
Ability to design scalable and maintainable AI solutions

PREFERRED QUALIFICATIONS
Experience with Snowflake Cortex, including:
Cortex Analyst
Cortex Search
Cortex Complete
Cortex Intelligence
Cortex Agents
Healthcare / Life Sciences data experience
Pharmaceutical commercial analytics experience
Clinical trial data experience
Claims data experience
OMOP Data Model experience

CORE TECHNICAL SKILLS
Snowflake
Snowpark
Snowflake Cortex
SQL
Python
Generative AI / LLMs
RAG
AI Agents
Prompt Engineering
Semantic Modeling
Data Engineering
Enterprise Data Pipelines

Key Skills

Education

Any Graduate