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Tier 1 brand, mid-level cloud/AI role across metros increases competitor density.
Requires Google Cloud, AI architecture, and pre-sales experience so cross-industry fit is moderately constrained.
Explicit six years cloud architecture plus AI and technical pre-sales requirements make hiring highly selective.
Lead technical discovery sessions to understand customer requirements and design comprehensive cloud-native and AI system architectures.
Develop and deploy scalable Proof of Value (PoV) products that integrate seamlessly into customers' existing enterprise systems.
Engineer enterprise-grade AI solutions using cloud-native infrastructure ensuring adherence to best practices, security, and scalability for smooth production transition.
Bachelor's degree in a technical field or equivalent practical experience.
Minimum 6 years of experience with cloud native architecture in a customer-facing or support role.
Experience architecting AI systems on cloud platforms and building full-stack solutions interfacing with enterprise systems.
Experience engaging with technical stakeholders or executive leaders.
Experienced in managing technical aspects of pre-sales cycles including scoping, designing architecture, and delivering integrated PoVs.
Proficient in coding and cloud-native application development with knowledge of general-purpose programming languages (e.g., Python, Java, Go).
Skilled at bridging business challenges with technical solutions, focusing on scalable AI and cloud systems integrated within enterprise environments.