Software Engineer, Applied AI

Software Engineer, Applied AI at Snowflake is a hands-on role focused on building and deploying enterprise-grade AI solutions, including advanced AI agents. The ideal candidate will architect, develop, and product ionize AI systems using Snowflake's AI Platform, Cortex, and native LLM capabilities, working closely with customers to solve complex business challenges ponsibilities include designing ML pipelines, contributing to evaluation frameworks, ensuring observability, and collaborating cross-functionally with product and engineering teams to shape the future of Snowflake's AI offerings.

Candidates should have 3+ years of software engineering experience, with proven expertise in Python, Java, or C++, and hands-on experience developing and shipping LLM-based or ML applications. Strong skills in data modeling, ETL/ELT, and performance tuning are required, along with the ability to translate ambiguous business needs into scalable solutions. Experience with MLOps, cloud environments (AWS, Azure, GCP), and agentic workflows is a plus.

This role offers growth opportunities for junior to senior engineers, with increasing ownership and impact as they demonstrate technical judgment and cross-team collaboration.