Principal AI Platform Engineer, Applied AI

This role designs and builds AI Functions, a key Cortex Platform feature, delivering scalable and governed AI ETL pipelines for customers. The engineer will work on distributed platforms within Snowflake's global infrastructure, ensuring reliability and performance. Requires 14+ years of experience with large-scale systems and fluency in Python or Java, with a passion for AI/ML and NLP.

Builds backend services, platform infrastructure, and AI capabilities for Snowflake's internal GTM AI platform. This role involves designing scalable distributed systems, developing APIs and orchestration services, and creating reusable AI components like agent frameworks and evaluation pipelines. The engineer will leverage Snowflake Cortex and Snowpark to build intelligent data applications and establish engineering best practices.

This Principal Software Engineer role is within the Apps & Experiences (AppEx) organization, which powers the unified user experience (Snowsight) for Snowflake. The engineer will design and build AI-first platforms, tools, and best practices to significantly enhance the developer experience, drive strategy for agentic development workflows, and improve platform reliability through observability and automated remediation. The role requires 12+ years of industry experience developing tools for large codebases and a strong passion for AI-first processes and LLM-based applications.

This role involves designing and building scalable AI platform infrastructure to support machine learning workflows. Responsibilities include developing pipelines, optimizing model deployment, and ensuring reliability and performance of AI services.

This role focuses on deploying Snowplow's AI capabilities directly with customers, bridging the gap between product and real-world implementation. The engineer will work on applied AI projects, likely involving customer context infrastructure and real-time data pipelines.

This role involves developing and implementing AI solutions within Snowplow's product ecosystem. The engineer will work on applied AI projects, likely involving customer context infrastructure and real-time data pipelines.

This role designs and implements technical solutions for customers, ensuring Snowplow's platform meets their specific needs. The architect will work closely with customers to understand requirements and architect data pipelines.