Sr. Technical Architect - AI/ML

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.

What You'll Do:

• 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.

Tech Stack:

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

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.

Bonus Points For Having:

• 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.