Чем предстоит заниматься
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