Топовая роль Principal в крупной продуктовой компании: cutting-edge стек в области AI, высокая зарплата и четкое влияние на стратегию продукта.
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Hirify AI/Оригинал
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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