Staff AI Engineer - Snowflake Intelligence
Role Overview
This senior-level role involves owning the full AI engineering lifecycle for Snowflake Cortex products, including designing agentic workflows, NL-to-SQL systems, and enterprise-grade context engineering. You will lead a team of engineers, build and optimize AI features, and collaborate with product and infrastructure teams to translate customer problems into production-ready solutions, directly impacting how businesses leverage their data.
Perks & Benefits
The job is fully remote, offering flexibility in location, though time zone expectations may align with team collaboration in tech hubs like the US. Benefits include career growth opportunities in a fast-growing company, a culture focused on innovation and impact, and access to salary and benefits details via the Snowflake Careers Site for US-based roles.
Full Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
About the Role
The Cortex Apps team is building the future of AI for enterprise data. See our flagship product in action:Talk To Your Data: Snowflake Intelligence Demo.
Your work will directly impact how businesses understand and leverage their data. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization. You'll work with a small, high-powered modeling and infrastructure team.
What you will do in this role:
Own features end-to-end for Snowflake Cortex products. Build agentic workflows, NL-to-SQL on semantic layers, search.
Build enterprise-grade context engineering: function calling, tool schemas, guardrails, semantic model-aware prompting for SQL, and verification/repair
Design evals and hillclimb : create golden sets, create rubrics and metrics, analyze errors, run experiments to hill climb on the metrics.
Partner with product and infra: translate customer problems into products and experiments. Collaborate with infrastructure teams to productionize improvements.
Lead a team of engineers towards building great products
Requirements:
Bachelor’s degree in Computer Science, Engineering, Statistics or a related field. Master’s or higher degree preferred but not a requirement.
5+ years of experience shipping AI features in production.
Proficiency in programming languages such as Python, Go
Strong communication skills and ability to collaborate effectively in a team environment.
(Optional) Experience working with text2sql, data modeling, data analysis, retrieval systems, and semantic layers is a plus.
About Snowflake
Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through our Cortex products: Snowflake intelligence, cortex agents, cortex analyst, cortex search.
About Snowflake
Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through our Cortex products: Snowflake intelligence, cortex agents, cortex analyst, cortex search.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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
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