Join Google Cloud as an Applied Solutions Architect and be the vital link between customer business challenges and Google's engineering prowess. This role involves understanding client needs, designing scalable systems, and developing real-world applications. You'll collaborate closely with customers, helping them leverage the power of cloud computing to enhance productivity and achieve their goals.

As part of the Go-To-Market team, you will play a key role in showcasing Google Cloud's innovative solutions. You'll engage with both technical and executive stakeholders, ensuring solutions not only meet but exceed expectations in their enterprise environments.

Lead technical discovery to thoroughly understand customer requirements and existing technology landscapes. Design comprehensive system architectures and conduct iterative workshops to finalize project scope, always focusing on the ultimate end-state. Translate high-level architectural concepts into detailed, low-level implementations. Develop, code, and deploy robust cloud systems, ensuring seamless integration of technical designs into functional realities. Architect and engineer enterprise-grade AI solutions, including agentic workflows and RAG systems, utilizing highly scalable, cloud-native infrastructure. Create functional Proof of Value (PoV) products that integrate with customer systems, demonstrating tangible business value and adhering strictly to engineering best practices, security, and scalability guidelines.

A Bachelor's degree in a technical field or equivalent practical experience is required. Possess 6 years of experience in cloud-native architecture, ideally in a customer-facing or support capacity. Demonstrated experience architecting AI systems on cloud platforms. Proven ability in building full-stack solutions that effectively interface with enterprise systems. Experience engaging with and presenting to technical stakeholders and executive leadership. Preferred candidates will have 4 years of software development or systems architecture experience, with proficiency in programming languages like Python, Java, or Go.