Guide customers through the pilot-to-production journey. Distinguish between model Application Programming Interfaces (API) and full platform value, and drive scalable decisions. Shift conversations to business cases. Model and platform Total Cost of Ownership (TCO), explain inference cost scaling, and articulate the ROI of build versus buy decisions. Navigate the value patterns such as business generation (e.g., customer experience), efficiency (e.g., automation), and decision augmentation (e.g., insight).
Position AI agents within the context of the industry. Explain how data proximity, governance, and operational coherence (e.g., MLOps) on Vertex AI create a engaged advantage. Leverage a team of Field Sales Representative (FSR) and Customer Engineers, and activate partners to scale industry-specific plays and accelerate implementation. Assess agreement maturity. Commit to defendable numbers based on technical reality and executive sponsorship.
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