- Experience with the Snowflake platform, including Snowpark, Cortex AI, Snowpark Container Services, Snowflake Connector, and Snowflake CLI.
- Experience building agentic applications using frameworks such as LangGraph or similar multi-agent orchestration frameworks.
- Experience with AI evaluation, monitoring, guardrails, and observability frameworks.
- Familiarity with model serving, inference optimization, and AI infrastructure.
- Experience working with large-scale data platforms, ETL pipelines, and modern data engineering workflows.
- Experience building full-stack AI applications using Streamlit, React, or similar frameworks.
- Experience with Python data libraries such as pandas and NumPy.
- Familiarity with modern AI development tools such as Cursor, Claude Code, Cortex Code, or similar AI-assisted development environments.
- Experience working with cloud-native infrastructure and Kubernetes is a plus.
WHY JOIN OUR TEAM?
Joining the GTM AI Engineering team means building AI products that have a direct and measurable impact on Snowflake's business. You'll help define the architecture of our internal AI platform while developing intelligent applications used every day by thousands of employees across our global Go-To-Market organization.
This is a unique opportunity to combine backend engineering, distributed systems, and applied AI to solve real business problems at scale. You'll work alongside world-class engineers and product leaders while helping shape how AI transforms the way Snowflake operates internally.
If you're passionate about building production-grade AI systems, enjoy solving complex engineering challenges, and want to help define the future of enterprise AI, we'd love to hear from you.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com