TL;DR
Principal AI Engineer (AI): Defining the long-term technical vision and architectural design for Snowflake Intelligence, focusing on leading the deployment of LLM-based applications at massive scale. Focus on tackling frontier problems in agentic reasoning, NL-to-SQL, and enterprise-scale RAG, and driving industry-leading reliability for LLM performance across diverse customer schemas.
Location: Onsite in Menlo Park, CA, United States. This role is restricted to candidates located in the United States.
Salary: $264K–$379.5K
Company
Snowflake is the AI Data Cloud, building the foundational intelligence layer for the world’s data, empowering enterprises to achieve their full potential.
What you will do
- Define the long-term technical vision and lead architectural design for Snowflake Intelligence, including multi-agent systems and NL-to-SQL engines.
- Establish methodology for measuring and guaranteeing LLM performance and drive industry-leading reliability through automated infrastructure.
- Partner with Product and Engineering leadership to align AI capabilities with business goals, bridging research and production.
- Design extensible context engineering patterns, including advanced function calling and semantic layer integration.
- Act as a technical North Star and force multiplier, mentoring Staff and Senior engineers and leading cross-functional strike teams.
Requirements
- Experience: 10+ years of software engineering experience, with 3+ years specifically leading the deployment of LLM-based applications at massive scale.
- Education: Bachelor’s, Master’s, or PhD in Computer Science, AI, or a related field.
- Expertise: Deep understanding of LLM orchestration, prompt optimization, semantic modeling, and building robust guardrails.
- Systems Thinking: Proven track record of designing complex systems integrating AI with traditional data stacks.
- Communication: Exceptional ability to communicate complex technical trade-offs to both executive leadership and ICs.
- Proven Impact: Previously held a Principal or equivalent high-level IC role, or led the technical launch of a major AI product.
Culture & Benefits
- Culture focused on impact, innovation, and collaboration.
- Opportunity for building big, moving fast, and taking technology and careers to the next level.
- Scaling the Cortex platform, including Snowflake Intelligence, Cortex Agents, Analyst, and Search.
- Working to define the next decade of enterprise computing.
- Team values challenge ordinary thinking and pushing the pace of innovation.
