Applied Solutions Architect, Google Cloud
Technology, Data & Digital · IT Infrastructure & Security · Cloud Engineering · Software Engineering · Artificial Intelligence
In short
As an Applied Solutions Architect for Google Cloud, you will be the technical liaison between customers and Google's engineering teams, designing and building scalable AI and cloud-native systems. This hybrid role involves hands-on coding and application development to create Proof-of-Value products that integrate with existing enterprise systems.
Responsibilities
- Lead technical discovery sessions to understand customer requirements and design comprehensive system architectures.
- Conduct iterative workshops with stakeholders to define project scope and lock in designs.
- Actively code, build, and deploy cloud systems, ensuring technical designs translate into functional realities.
- Architect and engineer enterprise-grade AI solutions like agentic workflows, RAG systems, and applied foundation models.
- Build scalable, cloud-native infrastructure including event-driven microservices, containerized workloads, and serverless compute.
- Engineer functional PoV products that integrate into customer's as-is systems to demonstrate business value.
- Adhere strictly to engineering best practices, security standards, and scalability guidelines.
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.
Desired Qualifications
- 4 years of experience in software development, systems architecture, or a highly technical customer-facing role.
- Proficiency in one or 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.
- Deep experience with cloud-native application development.
- Demonstrated experience designing and building AI applications.
Benefits
- Opportunity to work with leading companies adopting cloud computing.
- Facilitate making work more productive, mobile, and collaborative for customers.
- Assist sales Googlers by problem-solving key technical issues for customers.
- Liaise with product marketing management and engineering teams.
- Potential to influence enhancements to Google Cloud products.
#Google Cloud#Solutions Architect#AI#Cloud Native