About this role

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.

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 practice influence.
Strong executive communication: Ability to present complex AI/ML concepts and ROI to technical and business audiences.

Principal Technical Architect – AI/ML

Key skills