Sr. Technical Architect - AI/ML

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

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.

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.

Technical Depth & Risk Management

• Distributed Systems: Deconstruct failures in complex pipelines involving external cloud services (AWS/Azure/GCP).
• Predictive Failure Analysis: Critically think about potential failure modes like model drift and data skew early in the lifecycle.
• Governance: Architect data security and access controls specifically for sensitive AI/ML training data.

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.
• Reduction in post-deployment technical debt; Regional success of complex implementations; Peer mentorship impact.
• Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment, and model management.

Skills

• Snowflake Model Registry, Cortex Functions, Python, External MLOps (Kubeflow/SageMaker).

Bonus Points

• 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.

Pay

The estimated base salary range for this role is $160,000 - $210,000. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

Benefits

• Medical, dental, vision, life, and disability insurance.
• 401(k) retirement plan.
• Flexible spending & health savings account.
• At least 12 paid holidays.
• Paid time off.
• Parental leave.
• Employee assistance program.
• Other company benefits.