Applied AI Engineer

This Software Engineer role on the Cortex AI Functions Platform team focuses on building the platform that allows Snowflake customers to call AI directly from SQL. The engineer will work on projects including a new architecture for multi-modal inference, quality gates for shipping new functions, and support for input data beyond plain text. This role requires 4+ years of experience building production backend or distributed systems in C++, Java, Go, or Python.

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 Software Engineer role in Database Engineering focuses on critical business initiatives in the core database engine, bringing an AI-first approach to software development. The engineer will own features end-to-end, design reliable systems for complex database workloads, and lead the adoption of AI-driven development practices like coding agents. The role requires 2+ years of experience with distributed systems fundamentals and proficiency in a programming language.

This customer-facing role leads the end-to-end delivery of enterprise AI programs on the Cortex AI team, managing a team of 2-4 engineers. The engineer will define quality metrics, build evaluation frameworks, and run systematic eval loops to improve agent quality, accuracy, and safety. This position requires frequent travel within the USA and involves setting technical direction for customer engagements while remaining hands-on in designing and shipping ML pipelines.

This senior engineering role involves building and scaling the AI platform infrastructure that powers Snowplow's applied AI solutions. The engineer will focus on platform architecture, reliability, and performance for AI-driven features.

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 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.