As a Generative Artificial Intelligence (GenAI) Field Solutions Architect at Google Cloud, you will bridge the gap between frontier AI products and production-grade reality within customers, managing blockers to production and solving integration complexities, data readiness issues, and state-management issues. You will lead the 'Discovery-to-Deployment' journey, architecting and coding agentic workflows, and driving measurable ROI. You will also act as a product catalyst, identifying repeatable field patterns and technical friction points, and converting them into reusable modules or product feature requests.
Requirements
- 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
- Master's degree or PhD in AI, Computer Science, or a related technical field (preferred)
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google's ADK) and patterns like ReAct, self-reflection, and hierarchical delegation
- 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
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
