• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload • Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements • Work hands-on where needed using SQL, Python, and APIs to build POCs that demonstrate implementation techniques and best practices on Snowflake technology for GenAI and ML workloads • Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them • Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments • Provide guidance on how to resolve customer-specific technical challenges • Support other members of the Services Delivery team develop their expertise • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

• 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.

• Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

• Architect, develop, and maintain backend services and APIs that power Theori’s AI security platforms. • Design for performance, scalability, and fault-tolerance across distributed systems. • Collaborate with product and frontend engineers to define and deliver secure, well-structured APIs. • Build and optimize data pipelines supporting LLM agent workflows and real-time scanning. • Establish backend best practices, coding standards, and CI/CD processes for a growing US team. • Write clean, well-tested, and maintainable code in Python and related technologies. • Mentor junior engineers and contribute to a strong, collaborative engineering culture.