Applied Solutions Architect, Google Cloud
Summary
Designs and implements scalable Google Cloud solutions for enterprise customers, focusing on AI-driven architectures and cloud-native systems while collaborating with stakeholders to solve business challenges.
About
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. As an Applied Solutions Architect within the Google Cloud Go-To-Market (GTM) team, you will act as the deep technical bridge between our customers business challenges and Google's engineering capabilities. You will work closely with customers to uncover their needs, architect scalable systems, and write code and build real-world applications.
Responsibilities
• Lead in depth technical discovery sessions to understand customer requirements and their current technology landscape. Design comprehensive system architectures and run iterative workshops with stakeholders to lock in project scope, always architecting with the final end-state in mind.
• Move seamlessly from high-level architecture to low-level implementation. Actively code, build, and deploy robust cloud systems, ensuring technical designs translate into functional, integrated realities.
• Architect and engineer enterprise-grade AI solutions such as agentic workflows, RAG systems, and applied foundation models backed by highly scalable, cloud-native infrastructure including event-driven microservices, containerized workloads, and serverless compute.
• Engineer functional PoV products that integrate into the customer's as-is systems to demonstrate true business value. Ensure all builds adhere strictly to engineering best practices, security standards, and scalability guidelines to ensure a smooth transition to production.
Requirements
• Bachelor's degree in a technical field or equivalent practical experience.
• 4 years of experience with cloud native architecture in a customer-facing or support role.
• Experience architecting AI systems on cloud platforms.
• Experience building full-stack solutions that interface with enterprise systems.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
Preferred
• 4 years of experience in software development, systems architecture, or a highly technical customer-facing role with proficiency in one of more general-purpose programming languages (e.g., Python, Java, Go).
• Experience managing the technical pre-business cycle, from initial scoping and architecture design to the successful delivery of integrated PoVs.
• Deep experience with cloud-native application development.
• Demonstrated experience designing and building AI applications.
Benefits
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