Field Solutions Architect III, GenAI, Google Cloud

Job description

Minimum qualifications: - Bachelor’s degree in Science, Technology, Engineering, Mathematics, a related technical field, or equivalent practical experience. - 8 years of experience shipping production-grade AI-driven solutions to external or internal customers. - Experience in Python. - Experience architecting AI systems on cloud platforms. - Experience leading technical discovery sessions with executive stakeholders (C-suite) and engineering teams to define AI and hardware infrastructure requirements. - Experience building full-stack solutions that interface with enterprise systems. Preferred qualifications: Knowledge of "LLM-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. About the job As a Generative Artificial Intelligence (GenAI) Field Solutions Architect at Google Cloud, you are an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. Unlike traditional advisory roles, you will function as a "builder-consultant," movi...