Join Google Cloud as an Applied Solutions Architect and be the technical cornerstone connecting customer challenges with Google's powerful engineering solutions. You will collaborate closely with clients, designing scalable systems and developing real-world applications.

Your role involves crafting Proof-of-Value (PoV) products that seamlessly integrate into existing customer systems. Prioritizing the final production environment from the outset, you will champion AI and cloud-native solutions, ensuring they are not only innovative on paper but also perform flawlessly in enterprise settings.

Google Cloud empowers organizations globally to digitally transform. We provide enterprise-grade solutions powered by Google's technology and tools that foster sustainable development for applications. Businesses across over 200 countries rely on Google Cloud to drive growth and solve their most pressing business issues.

Lead in-depth technical discovery sessions to grasp customer requirements and their current technology stack. Design comprehensive system architectures and conduct iterative workshops with stakeholders to finalize project scope, always keeping the end goal in sight.

Transition smoothly from high-level architectural concepts to intricate implementation details. Actively code, build, and deploy cloud systems, ensuring technical designs materialize into functional, integrated solutions.

Design and engineer robust AI solutions, including agentic workflows, RAG systems, and applied foundation models. These will be supported by highly scalable, cloud-native infrastructure, such as event-driven microservices, containerized applications, and serverless compute.

Develop functional PoV products that integrate into a customer's existing systems to showcase tangible business value. Ensure all development strictly adheres to best engineering practices, security protocols, and scalability guidelines for a seamless production rollout.

A Bachelor's degree in a technical discipline or equivalent practical experience is required.

Four years of experience in cloud-native architecture within a customer-facing or support capacity is essential. This includes hands-on experience architecting AI systems on cloud platforms and building full-stack solutions that interface with enterprise systems.

Demonstrated experience engaging with or presenting to technical stakeholders or executive leadership is also a key requirement. Preferred qualifications include four years in 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 and deep expertise in cloud-native application development are highly valued.