Sr. Technical Architect - AI/ML
About The Position
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. LEAD. STRATEGIZE. TRANSFORM. We are seeking an advanced professional handling complex enterprise AI/ML deployments, deconstructing system dependencies, and ensuring production robustness. WHY THIS ROLE? This role marks a shift from managing tactical tasks to managing strategic outcomes. You are a seasoned professional with a full understanding of your specialization, resolving a wide range of issues in creative ways.
Requirements
- Typically requires a minimum of 8 years of related experience with a Bachelor's degree (Radford L4 equivalent).
- Seasoned professional expertise in resolving wide-ranging issues in creative ways.
- Strong executive communication: Ability to present complex AI/ML concepts and ROI to technical and business audiences.
- Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.
- Snowflake Model Registry, Cortex Functions, Python, External MLOps (Kubeflow/SageMaker).
Nice To Haves
- Experience with GenerativeAI, LLMs and Vector Databases.
- Experience with Databricks/Apache Spark.
- Experience implementing data pipelines using ETL tools.
- Experience working in a Data Science role.
- Proven success at enterprise software.
- Vertical expertise in a core vertical such as FSI, Retail, Manufacturing, etc.
Responsibilities
- Design robust, scalable AI/ML solutions utilizing the full Snowflake native stack and partner ecosystem.
- Perform deep-dive Root Cause Analysis (RCA) for complex system dependencies in AI/ML solutions.
- Collaborate cross-functionally with Sales and Product teams to align technical roadmaps with customer ROI.
- Mentor Level 3 architects on best practices for MLOps and architectural design.
- Deconstruct failures in complex pipelines involving external cloud services (AWS/Azure/GCP).
- Critically think about potential failure modes like model drift and data skew early in the lifecycle.
- Architect data security and access controls specifically for sensitive AI/ML training data.
Benefits
- 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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What This Job Offers
Job Type
Full-time
Career Level
Senior
