Base Salary
$264k - $380k/yr
Responsibilities
- Define the long-term technical vision and architecture for Snowflake Intelligence.
- Lead the design of multi-agent systems, complex tool-use frameworks, and self-correcting NL-to-SQL engines.
- Build automated hill-climbing infrastructure and methodologies for reliable LLM performance evaluation.
- Partner with product, engineering, and research leaders to bring LLM capabilities into production at Snowflake scale.
- Design extensible context-engineering patterns, advanced function calling, and semantic-layer integrations.
- Mentor Staff and Senior engineers and lead cross-functional strike teams on high-stakes projects.
Requirements
- 10+ years of software engineering experience, including 3+ years leading deployment of LLM-based applications at massive scale.
- Bachelor’s, Master’s, or PhD in Computer Science, AI, or a related field.
- Deep expertise in LLM orchestration, prompt optimization, semantic modeling, and guardrails for non-deterministic systems.
- Proven experience designing complex systems integrating AI with SQL, retrieval systems, and semantic layers.
- Exceptional ability to communicate technical trade-offs to executive leaders and individual contributors.
- Prior Principal-level or equivalent high-level individual contributor experience, or technical leadership of a major AI product used by millions.
Tech Stack
Categories
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.