Principal Technical Architect - AI/ML, Advanced Services
Snowflake
- Pay
- $196k–$257k
- Workplace
- Remote
- Location
- US-NY-New York City-Remote · Remote · New York · United States
- First seen
- 6 days ago
- Last seen
- 4 hours ago
- Board
- Ashby
Summary
At Snowflake, we are powering the era of the agentic enterprise.
Posting
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/ML LEAD. 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. SNOWFLAKE-NATIVE TECH STACK: 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 practic