AI Solutions Consultant, Partner GSI, Google Cloud

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an AI Solutions Consultant, Partner Global System Integrators (GSI), you will manage blocker to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

• Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
• Architect and code the "connective tissue" between Google’s AI products and live infrastructure, including APIs, legacy data silos, and security perimeters.
• Identify repeatable field patterns and technical "friction points" in Agents stack, converting them into reusable modules for other agents.
• Co-build with field to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Minimum qualifications:

• Bachelor’s degree in Computer Science Engineering, or equivalent practical experience.
• 8 years of experience in a technical project management or a customer-facing role.
  
• 7 years of experience with enterprise systems such as customer relationship management (CRM), databases (e.g., Cloud SQL, BigQuery), security (e.g., IAM roles, service accounts) and application development services (e.g., Cloud Run, Cloud Build, Cloud Source Repositories).
• Experience taking production-grade AI-driven solutions from conception to launch and architecting Gemini Enterprise-based agents on Google Cloud Platform (GCP).

Preferred qualifications:

• Experience building browser-based UIs and lightweight application front-ends (e.g., Streamlit, Gradio, React) to rapidly demo and deploy "vibe-coded" AI workflows for end-users.
• Experience setting up catalog tracking, system safeguards, and evaluation frameworks to govern and operationalize an active community-built agent repository.
• Experience with prompt engineering and a deep understanding of how to interact with and guide large language models using Gemini.
• Experience implementing multi-agent systems using frameworks.
• Knowledge of "LLM-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Proven ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.