Join Google Cloud as an Applied Solutions Architect and become the vital technical link between customer needs and Google's engineering prowess. You'll collaborate closely with clients, understanding their unique challenges and architecting scalable systems. This role involves writing code and building practical applications to solve complex business problems.

You will engineer Proof of Value (PoV) products, ensuring seamless integration with existing customer systems. Your focus will be on advocating for our AI and cloud-native solutions, demonstrating their potential not just conceptually but also through flawless execution in enterprise environments.

Google Cloud empowers organizations globally through digital transformation. We provide enterprise-grade solutions powered by cutting-edge Google technology, enabling developers to build more sustainably. Our trusted partnership helps customers across over 200 countries and territories achieve growth and overcome critical business hurdles.

Lead technical discovery sessions to deeply understand customer requirements and their existing technology infrastructure. Design comprehensive system architectures and facilitate iterative workshops with stakeholders to define project scope, always keeping the ultimate end-state in focus.

Transition fluidly from high-level architectural concepts to detailed, low-level implementation. Develop, build, and deploy robust cloud systems, ensuring that technical designs are translated into functional and integrated solutions.

Architect and engineer enterprise-grade AI solutions, including agentic workflows, RAG systems, and applied foundation models, all supported by highly scalable, cloud-native infrastructure. This includes leveraging event-driven microservices, containerized workloads, and serverless compute.

Create functional PoV products designed for integration into customers' current systems, effectively demonstrating tangible business value. Rigorously adhere to engineering best practices, stringent security standards, and scalability guidelines to ensure a smooth transition to production environments.

Possess a Bachelor's degree in a technical field or equivalent practical experience. Bring 6 years of experience in cloud-native architecture, ideally within a customer-facing or support capacity. Demonstrated experience in architecting AI systems on cloud platforms is essential.

Proven ability to build full-stack solutions that effectively interface with enterprise systems. Experience engaging with, or presenting to, technical stakeholders or executive leaders is required.

Preferred qualifications include 4 years of software development, systems architecture, or a highly technical customer-facing role, with proficiency in languages like Python, Java, or Go. Experience managing the technical pre-sales cycle, from initial scoping and architecture design to successful PoV delivery, is highly valued. Familiarity with cloud-native application development and designing/building AI applications is also beneficial.