Applied Solutions Architect, Google Cloud
Technology, Data & Digital · Software & Web Development · Software Engineering · Cloud Engineering · Artificial Intelligence
In short
As an Applied Solutions Architect for Google Cloud, you will bridge the gap between customer business needs and Google's engineering capabilities. You will design and build scalable AI and cloud-native solutions, focusing on integrating Proof of Value (PoV) products into existing enterprise systems.
Responsibilities
- Lead technical discovery sessions to understand customer requirements and current technology landscapes.
- Design comprehensive system architectures and run iterative workshops with stakeholders.
- Code, build, and deploy robust cloud systems, ensuring functional integration.
- Architect and engineer enterprise-grade AI solutions, including agentic workflows, RAG systems, and applied foundation models.
- Engineer functional PoV products that integrate into customer's as-is systems to demonstrate business value.
- Ensure all builds adhere strictly to engineering best practices, security standards, and scalability guidelines.
Requirements
- Bachelor's degree in a technical field or equivalent practical experience.
- 6 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.
- English proficiency is a requirement.
Desired Qualifications
- 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-sales cycle, from initial scoping and architecture design to the successful delivery of integrated PoVs.
- Experience with cloud-native application development.
- Experience designing and building AI applications.
Benefits
- Opportunity to work with leading companies on cloud computing.
- Facilitate making customer work more productive, mobile, and collaborative.
- Assist sales Googlers by problem-solving key technical issues.
- Liaise with product marketing management and engineering teams to stay on top of industry trends and devise enhancements.
- Opportunity to share preferred working location from Bengaluru, Gurugram, or Mumbai.
#cloud computing#architecture#AI#Google Cloud#GTM#solutions architect#Go-To-Market