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.
Principal Technical Architect - AI/MLLEAD. STRATEGIZE. TRANSFORM.SUMMARY:Recognized expert and strategic technical advisor resolving critical, wide-ranging design matters for legacy modernization and Generative AI.
WHY THIS ROLE?You act as the technical "North Star" for high-stakes migrations. You exercise wide latitude in determining objectives and approaches to critical assignments with high business impact.
WHAT YOU’LL DO:Develop reusable solution patterns, global reference architectures, and practice-wide white papers.
Modernize legacy stacks (Netezza, Teradata, Exadata) into Snowflake AI workloads using deep architectural knowledge.
Act as a trusted technical advisor to C-suite stakeholders, bridging business strategy with AI execution.
Solve for LLM robustness, including managing prompt safety, hallucinations, and latency at enterprise scale.
Gen AI Robustness: Architect enterprise-grade guardrails for LLMs, ensuring safety and performance.
Legacy Transformation: Facilitate high-complexity data migrations from on-prem legacy systems into AI-ready cloud environments.
Strategic Risk Management: Determine technical approaches for assignments that impact regional or global design success.
Vector Data Types, Snowflake Cortex, Advanced LLM Frameworks, Global Asset Creation.
OUR IDEAL CANDIDATE WILL HAVE:Typically requires 12+ years of related experience with a Bachelor's; or 8 years with a Master's.
Expert reputation in the AI/ML community and the Snowflake ecosystem.
Visionary thinker with the ability to influence regional practice strategy and create regional frameworks.
Adoption rate of authored assets; Performance in "must-win" strategic accounts; Regional practice influence.
Strong executive communication: Ability to present complex AI/ML concepts and ROI to technical and business audiences.
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
Skills Required
- Typically requires 12+ years of related experience with a Bachelor's, or 8 years with a Master's.
- Expert reputation in the AI/ML community and the Snowflake ecosystem.
- Deep architectural knowledge modernizing legacy stacks (Netezza, Teradata, Exadata) into Snowflake AI workloads.
- Experience developing reusable solution patterns, global reference architectures, and practice-wide white papers.
- Ability to act as a trusted technical advisor to C-suite stakeholders and present complex AI/ML concepts and ROI.
- Proven experience solving LLM robustness issues, including prompt safety, hallucinations, and latency at enterprise scale.
- Experience architecting enterprise-grade guardrails for LLMs to ensure safety and performance.
- Familiarity with Snowflake-native tech stack components such as Vector Data Types, Snowflake Cortex, and advanced LLM frameworks.
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
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Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
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Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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