Snowflake

5 months ago

Principal AI Software Engineer - Snowflake Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the long-term technical vision and architectural design for Snowflake Intelligence, tackling frontier problems in multi-agent systems, NL-to-SQL, and enterprise-scale RAG. Define reliable, scalable AI infrastructure, mentor senior engineers, and collaborate with product and research to align AI capabilities with business goals. Drive context engineering patterns and guardrails, influencing cross-team adoption of cutting-edge LLM techniques at scale.

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Define the long-term technical vision for Snowflake Intelligence and lead the architectural design of multi-agent systems, tool-use frameworks, and self-correcting NL-to-SQL engines.
•Build and maintain world-class, automated infrastructure for evaluating and guaranteeing LLM performance across diverse customer schemas.
•Partner with Product and Engineering leadership to align AI capabilities with business goals and bridge Research (modeling) and Production (infra).
•Design extensible context engineering patterns, including function calling and semantic layer integration for cross-team use.
•Mentor Staff and Senior engineers, lead cross-functional strike teams on high-stakes projects, and foster a culture of technical excellence and rapid experimentation.

Pay and Benefits

Salary: USD 264,000 - 379,500 annually

Key Requirements

•10+ years of software engineering experience, with 3+ years specifically leading the deployment of LLM-based applications at massive scale.
•Bachelor’s, Master’s, or PhD in Computer Science, AI, or a related field.
•Deep, under-the-hood understanding of LLM orchestration with expertise in prompt optimization, semantic modeling, and guardrails for non-deterministic systems.
•Systems thinking with proven ability to design systems that integrate AI with traditional data stacks (SQL, Retrieval Systems, Semantic Layers).
•Strong communication skills, capable of conveying complex technical trade-offs to executives and ICs; proven impact in high-level IC roles or major AI product launches.

Experience:10+ yearsAIEnterprise dataLLM

Education:Bachelor's

Skills:CommunicationLeadershipMentorshipCollaborationProblem-solving

Tech Stack:LLMPrompt optimizationSQLRetrieval systemsSemantic layersNL-to-SQLMulti-agent systemsNLP

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

5 months ago

Principal AI Software Engineer - Snowflake Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Define the long-term technical vision for Snowflake Intelligence and lead the architectural design of multi-agent systems, tool-use frameworks, and self-correcting NL-to-SQL engines.
•Build and maintain world-class, automated infrastructure for evaluating and guaranteeing LLM performance across diverse customer schemas.
•Partner with Product and Engineering leadership to align AI capabilities with business goals and bridge Research (modeling) and Production (infra).
•Design extensible context engineering patterns, including function calling and semantic layer integration for cross-team use.
•Mentor Staff and Senior engineers, lead cross-functional strike teams on high-stakes projects, and foster a culture of technical excellence and rapid experimentation.

Pay and Benefits

Salary: USD 264,000 - 379,500 annually

Key Requirements

•10+ years of software engineering experience, with 3+ years specifically leading the deployment of LLM-based applications at massive scale.
•Bachelor’s, Master’s, or PhD in Computer Science, AI, or a related field.
•Deep, under-the-hood understanding of LLM orchestration with expertise in prompt optimization, semantic modeling, and guardrails for non-deterministic systems.
•Systems thinking with proven ability to design systems that integrate AI with traditional data stacks (SQL, Retrieval Systems, Semantic Layers).
•Strong communication skills, capable of conveying complex technical trade-offs to executives and ICs; proven impact in high-level IC roles or major AI product launches.

Experience:10+ yearsAIEnterprise dataLLM

Education:Bachelor's

Skills:CommunicationLeadershipMentorshipCollaborationProblem-solving

Tech Stack:LLMPrompt optimizationSQLRetrieval systemsSemantic layersNL-to-SQLMulti-agent systemsNLP

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn