• Architect end-to-end, scalable, secure, and performant GenAI solutions using Gemini Enterprise. Design complex, multi-agent workflows, deciding between the no-code workbench and custom Agent Development Kit (ADK) systems for production tasks. • Design the RAG-based data grounding architecture to securely connect Gemini Enterprise models to diverse, permission-aware enterprise data (e.g., BigQuery, Salesforce). • Architect the security and governance framework, implementing data residency, access control, and agent monitoring via Gemini Enterprise's control planes. • Serve as the lead technical advisor to C-level and IT leadership, defining the strategic value, ROI, and technical roadmap for Gemini Enterprise adoption. • Facilitate client workshops (requirements, validation, UAT). Lead hands-on development of high-impact prototypes/MVPs to validate architecture and demonstrate business value. • Create the technical integration strategy to embed Gemini across the client's technology stack (Google Workspace, core business applications). • Produce high-quality architectural documents, design specs, and roadmaps for implementation teams. • Stay current with industry trends and advanced AI/ML, including agentic frameworks. • Act as a key resource and contributor, lending your expertise to adjacent projects, special initiatives, and strategic conversations that align with your core competencies. • Collaborate with delivery, engineering, and sales to define scope, identify opportunities, and evolve the Gemini Enterprise offering.