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Описание вакансии
Текст:
TL;DR
Principal AI Engineer (LLM/Enterprise Data): Defining and building Snowflake Intelligence through multi-agent systems, NL-to-SQL engines, and enterprise-scale RAG with an accent on reliability, semantic modeling, and scalable AI architecture. Focus on designing self-correcting systems, automated LLM performance infrastructure, advanced function calling, and context engineering for Fortune 500 data environments.
Location: Menlo Park, California, United States
Salary: $264,000–$379,500 per year
Company
Snowflake provides a cloud data platform and is developing AI products for enterprise data interaction, including Snowflake Intelligence.
What you will do
- Define the technical strategy and long-term architecture for Snowflake Intelligence.
- Design multi-agent systems, tool-use frameworks, and self-correcting natural-language-to-SQL engines.
- Build automated evaluation and reliability infrastructure for LLM applications across diverse customer schemas.
- Develop context engineering patterns, advanced function calling, and semantic-layer integrations for internal teams and external developers.
- Partner with Product, Engineering, Research, and Infrastructure leadership to bring AI capabilities to production at enterprise scale.
- Mentor Staff and Senior engineers and lead cross-functional strike teams on high-impact AI 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.
- Experience designing systems that integrate AI with SQL, retrieval systems, and semantic layers.
- Exceptional communication skills across executive leadership and individual contributor audiences.
- Previous Principal-level experience or a major AI product launch used by millions.
Culture & Benefits
- Fast-moving environment focused on experimentation and rapid testing of emerging AI capabilities.
- Culture of low-ego collaboration, technical excellence, and challenging conventional thinking.
- Salary and benefits information for US roles is provided through the Snowflake Careers Site.
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