Customer Engineer, AI/ML, Google Cloud

Job description

Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 4 years of experience with cloud native architecture in a customer-facing or support role. - Experience identifying AI use cases to solve customer challenges or selling AI technology. - Experience engaging with, or presenting to, technical stakeholders or executive leaders. - Experience leading workshops, developing prototypes, or conducting demonstrations for clients. Preferred qualifications: - Experience navigating AI infrastructure consumption models and optimizing high-throughput training/inference clusters. - Experience implementing multi-agent systems using frameworks (e.g., A2A, LangGraph, CrewAI, AutoGen). - Experience navigating the startup lifecycle, from initial prototyping with AI Studio to scaling and achieving product-market fit on Vertex AI. - Experience working with, and a passion for, the high-growth startup ecosystem and its typical rapid-scaling challenges. - Knowledge of "LLM-native" performance metrics (TTFT, tokens/sec, cost-per-request) and techniques for optimizing state management, quantization, and provisioned throughput. - Ability to implement secure agentic workflows incor...