About the job

As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customer environments. Unlike traditional advisory roles, you will function as a "builder-consultant," moving beyond architecture to code, debug, and jointly ship bespoke agentic solutions.

This role is designed for high-agency engineers with a founder’s mindset. You will solve the integration complexities, data readiness, 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 and acting as a critical feedback loop for Google Cloud’s future product roadmap.

Responsibilities

• Lead the "Discovery-to-Deployment" journey, serving as the lead developer for AI applications and transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems and MCP servers) that drive measurable return on investment.
• Bridge the enterprise gap by architecting and coding the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
• Engineer for production excellence, building high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet the requirements for accuracy, safety, and latency.
• Act as a product catalyst, identifying repeatable field patterns and technical "friction points" in Google’s AI stack and converting them into reusable modules or product feature requests for the Engineering teams.
• Drive regional leadership and upskilling by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.