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Principal AI Software Engineer - Snowflake Intelligence

Snowflake

Menlo Park, California, United StatesFull Time$264k–$380k

Principal AI Software Engineer - Snowflake Intelligence at Snowflake is a full time role based in Menlo Park, California, United States. The listing states pay of $264k–$380k. It was published on 26 February 2026 and was open at last check.

Principal AI Software Engineer - Snowflake Intelligence at Snowflake — key details
RolePrincipal AI Software Engineer - Snowflake Intelligence
CompanySnowflake
LocationMenlo Park, California, United States
Employment typeFull Time
Pay (as listed)$264k–$380k
Published26 February 2026
StatusOpen at last check

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

About the Role

The Cortex Apps team is defining the future of AI for enterprise data. Our mission is to transform how the world’s largest enterprises interact with their data through flagship products like Snowflake Intelligence.

As a Principal AI Engineer, you will be a technical North Star for our AI initiatives. You won't just execute on a roadmap; you will help define it. You will tackle the most complex, "frontier" problems in agentic reasoning, NL-to-SQL, and enterprise-scale RAG, ensuring our AI products are not only innovative but fundamentally reliable and scalable for the Fortune 500.

What you will do in this role:

  • Technical Strategy & Architecture: Define the long-term technical vision for Snowflake Intelligence. Lead the architectural design of multi-agent systems, complex tool-use frameworks, and self-correcting NL-to-SQL engines.
  • Drive Industry-Leading Reliability: Move beyond simple evals to build world-class, automated "hill-climbing" infrastructure. You will establish the methodology for how Snowflake measures and guarantees LLM performance across diverse customer schemas.
  • Cross-Functional Influence: Partner with Product and Engineering leadership to align AI capabilities with business goals. You will bridge the gap between Research (modeling) and Production (infra), ensuring the latest LLM breakthroughs are viable at Snowflake scale.
  • Ecosystem Thinking: Design extensible "context engineering" patterns—including advanced function calling and semantic layer integration—that can be leveraged by other Snowflake teams and external developers.
  • Technical Leadership & Mentorship: Act as a force multiplier. You will mentor Staff and Senior engineers, lead cross-functional "strike teams" on high-stakes projects, and foster a culture of technical excellence and rapid experimentation.

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, "under-the-hood" understanding of LLM orchestration. You should be an expert in prompt optimization, semantic modeling, and building robust guardrails for non-deterministic systems.
  • Systems Thinking: Proven track record of designing complex systems that integrate AI with traditional data stacks (SQL, Retrieval Systems, Semantic Layers).
  • Communication: Exceptional ability to communicate complex technical trade-offs to both executive leadership and ICs. You are as comfortable in a design doc as you are in a boardroom.
  • Proven Impact: You have previously held a "Principal" or equivalent high-level IC role, or have led the technical launch of a major AI product used by millions.

About Snowflake

Snowflake is the AI Data Cloud. We aren't just shipping "wrappers"; we are building the foundational intelligence layer for the world’s data. Join us as we scale Cortex, including Snowflake Intelligence, Cortex Agents, Analyst, and Search—to define the next decade of enterprise computing.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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Create your free OnJob profile to apply — we'll take you to Snowflake's application after sign-up. · Posted 26 Feb 2026.

Principal AI Software Engineer - Snowflake Intelligence at Snowflake — questions answered

What does the Principal AI Software Engineer - Snowflake Intelligence role at Snowflake pay?

The Principal AI Software Engineer - Snowflake Intelligence at Snowflake listing states pay of $264k–$380k for the Menlo Park, California, United States position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.

Where is the Principal AI Software Engineer - Snowflake Intelligence role at Snowflake based?

Snowflake lists this Principal AI Software Engineer - Snowflake Intelligence role in Menlo Park, California, United States, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Snowflake before you apply.

Is the Principal AI Software Engineer - Snowflake Intelligence role at Snowflake still open?

The Principal AI Software Engineer - Snowflake Intelligence posting at Snowflake was open at OnJob's last check of the employer's careers page, having been published on 26 February 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the Principal AI Software Engineer - Snowflake Intelligence role at Snowflake?

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