Field Solutions Architect II, GenAI, Cloud

Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Applicants in the County of Los Angeles:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

The application window will be open until at least February 26, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
San Francisco, CA, USA;
Boulder, CO, USA;
Cambridge, MA, USA;
Chicago, IL, USA;
Mountain View, CA, USA;
New York, NY, USA;
Reston, VA, USA;
Seattle, WA, USA;
Sunnyvale, CA, USA;
Los Angeles, CA, USA;
Washington D.C., DC, USA
.

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 6 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 architecting scalable AI systems on cloud platforms e.g., Google Cloud Platform (GCP).
• Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval‑augmented generation (RAG)-like architectures to power enterprise‑grade AI solutions.

• Master’s or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi‑agent systems using frameworks (e.g., Lang Graph, 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.

As a GenAI Field Solutons Architect at Google Cloud, you will be an embedded builder to bridges the gap between frontier AI products and production‑grade reality within customers. You will function as a builder‑consultant, moving beyond high‑level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

This role is designed for high‑agency engineers with a founder’s mindset. You will manage blocker to production including solving the integration complexities, data readiness issues, and state‑management issues that prevent AI from reaching enterprise‑grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real‑world field insights into Google Cloud’s future product roadmap.

It’s an exciting time to join Google Cloud’s Go‑To‑Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven ’ll provide you with the world’s most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to Deep Mind’s engineering and research minds, empowering you to solve customer challenges.

Join us to be the…