Sr. Technical Architect - AI/ML

Skills

Responsibilities

• 01Design robust, scalable AI/ML solutions utilizing the full Snowflake native stack and partner ecosystem
• 02Perform deep-dive Root Cause Analysis (RCA) for complex system dependencies in AI/ML solutions
• 03Collaborate cross-functionally with Sales and Product teams to align technical roadmaps with customer ROI
• 04Mentor Level 3 architects on best practices for MLOps and architectural design
• 05Deconstruct failures in complex pipelines involving external cloud services (AWS/Azure/GCP)
• 06Critically think about potential failure modes like model drift and data skew early in the lifecycle
• 07Architect data security and access controls specifically for sensitive AI/ML training data

Requirements

• 01Typically requires a minimum of 8 years of related experience with a Bachelor's degree (Radford L4 equivalent)
• 02Seasoned professional expertise in resolving wide-ranging issues in creative ways
• 03Strong executive communication: Ability to present complex AI/ML concepts and ROI to technical and business audiences
• 04Reduction in post-deployment technical debt; Regional success of complex implementations; Peer mentorship impact
• 05Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management
• 06Experience with GenerativeAI, LLMs and Vector Databases
• 07Experience with Databricks/Apache Spark
• 08Experience implementing data pipelines using ETL tools
• 09Experience working in a Data Science role
• 10Proven success at enterprise software
• 11Vertical expertise in a core vertical such as FSI, Retail, Manufacturing, etc