Key ResponsibilitiesDesign and develop AI-powered applications using Snowflake Cortex, LLMs, and Agentic AI frameworks.Build and optimize semantic data 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.Develop and productionize Generative AI and LLM-based applications.Implement RAG, Prompt Engineering, AI Agents, and workflow orchestration solutions.Optimize Snowflake environments for performance, scalability, and maintainability.Support deployment, testing, monitoring, and operationalization of enterprise AI solutions.Required Qualifications15+ years of total professional experience, preferably with strong experience in Pharma/Life Sciences.7+ years of experience in Data Engineering, AI Engineering, Software Engineering, or related fields.Strong hands-on experience with Snowflake, Snowpark, SQL, and performance optimization.Proven experience developing Generative AI applications using LLMs.Strong knowledge of RAG, Prompt Engineering, AI Agents, and workflow orchestration.Strong programming skills in Python.Experience designing semantic data models and enterprise data pipelines.Preferred QualificationsExperience with Snowflake Cortex, including Cortex Analyst, Search, Complete, Intelligence, and Cortex Agents.Healthcare or Life Sciences / Pharmaceutical data experience.Experience with OMOP, claims data, clinical trial data, or commercial pharmaceutical data.Experience with enterprise-scale AI/analytics platforms.Strong understanding of commercial pharma analytics and data workflows.Technical SkillsSnowflake: Snowpark, Cortex, SQLProgramming: PythonGenerative AI: LLMs, RAG, Prompt Engineering, AI AgentsData: Semantic Modeling, Data Pipelines, Data EngineeringPharma/Life Sciences: Commercial Analytics, Clinical Trials, Claims Data, OMOP Data Model
2 days ago