Forward Deployed Engineer, Applied AI

This Forward Deployed Engineer role in the Cortex AI team builds production-grade AI solutions for strategic customers, including AI agents and pipelines. Responsibilities include architecting and deploying AI systems using Snowflake's AI platform, translating business objectives into scalable solutions, and ensuring operational excellence with observability and validation. The role requires hands-on coding with Python and SQL and a focus on customer impact.

This Principal Forward Deployed Engineer role embeds with Snowflake's most strategic customers to design, build, and deploy production-grade AI systems. As the senior technical counterpart to CTOs and VPs of Engineering, the role sets technical direction, owns end-to-end execution of complex AI engagements, and leads AI quality measurement. Requires 15+ years of software engineering experience including 3+ years building production AI/ML or agentic systems at enterprise scale, with at least 25% travel to customer sites.

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.

This Senior Principal Forward Deployed Engineer role serves as the senior technical authority and architectural leader for a portfolio of high-impact AI customer engagements at Snowflake. The role sets technical strategy across multiple complex deployments, influences Snowflake product direction, and establishes patterns that scale across customers and business units. Requires 15+ years of software engineering experience with deep expertise in production AI/ML or agentic systems at enterprise scale.

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 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.