As a Field Solutions Architect at Google Cloud, you will bridge the gap between frontier AI products and production-grade reality, developing and deploying bespoke agentic solutions directly within customer environments. This role requires high-agency engineers with a founder's mindset, who can solve integration complexities, data readiness issues, and state-management issues to enable AI to reach enterprise-grade maturity.
Requirements
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 3 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript or comparable languages.
- Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
- Experience building pipelines for structured, unstructured data, incorporating vector databases and Retrieval-augmented generation (RAG)-like architectures to power enterprise-grade AI solutions.
- Experience architecting Artificial Intelligence (AI) systems on cloud platforms (GCP).
Benefits
- 401k Matching
- Retirement Plan
- Generous Paid Time Off
- Tuition Reimbursement
