Staff/Principal AI Software Engineer - Snowflake CoWork

Snowflake
Menlo Park
Workplace: OnsiteFull timeUSD 264,000 - 379,500 annuallyFunction: Software EngineeringExperience: 10+ yearsSkills: ["Communication","Cross-functional collaboration","Technical leadership","Mentorship","Experimental mindset"]

Lead AI engineering for Snowflake Intelligence on the Cortex CoWork team, defining technical strategy and architecture for agentic enterprise systems. Tackle frontier problems in agentic reasoning, NL-to-SQL, and enterprise-scale RAG while building reliable, scalable “hill-climbing” evaluation infrastructure. Partner with Product and Engineering to bridge research and production, and create extensible context-engineering patterns (function calling, semantic layers) for teams and external developers.

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Snowflake
Snowflake
1 day ago

Staff/Principal AI Software Engineer - Snowflake CoWork

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Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Lead AI engineering for Snowflake Intelligence on the Cortex CoWork team, defining technical strategy and architecture for agentic enterprise systems. Tackle frontier problems in agentic reasoning, NL-to-SQL, and enterprise-scale RAG while building reliable, scalable “hill-climbing” evaluation infrastructure. Partner with Product and Engineering to bridge research and production, and create extensible context-engineering patterns (function calling, semantic layers) for teams and external developers.
Location: Menlo Park
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Define the long-term technical vision and lead architectural design for multi-agent systems, tool-use frameworks, and self-correcting NL-to-SQL engines.
  • •Build automated reliability infrastructure to measure and guarantee LLM performance across diverse customer schemas.
  • •Collaborate with Product and Engineering leadership to align AI capabilities with business goals and bridge research and production at scale.
  • •Design extensible context-engineering patterns, including advanced function calling and semantic layer integration, for broader reuse.
  • •Mentor Staff and Senior engineers and lead cross-functional strike teams on high-stakes projects.

Pay and Benefits

Salary: USD 264,000 - 379,500 annually

Key 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, hands-on understanding of LLM orchestration, including prompt optimization and semantic modeling.
  • •Proven track record designing complex systems that integrate AI with traditional data stacks (SQL, retrieval systems, semantic layers).
  • •Excellent communication of technical trade-offs to both executive leadership and ICs.
Experience:10+ yearsLLM-based applicationsEnterprise-scale AIAgentic reasoningNL-to-SQLRAG
Education:
Skills:CommunicationCross-functional collaborationTechnical leadershipMentorshipExperimental mindset
Tech Stack:LLM orchestrationPrompt optimizationSemantic modelingNL-to-SQLAgentic reasoningSelf-correcting enginesMulti-agent systemsTool-use frameworksLLM performance evaluationLLM guardrailsSQLRetrieval systemsSemantic layersFunction callingSemantic layer integrationRAG

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
WebsiteLinkedIn