Applied Solutions Architect, Google Cloud

Google; Mumbai; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Google Cloud is hiring an Applied Solutions Architect to bridge customer business challenges with Google’s engineering capabilities. You will collaborate with customers to design scalable systems, architect PoVs, and build real-world cloud-native AI applications that integrate with existing enterprise environments.

You will guide technical discovery, drive architecture to production, and partner with product marketing and engineering teams to push AI-enabled cloud solutions forward on a global

Qualifications

• 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.

Responsibilities

• Lead the technical discovery sessions to understand customer requirements and their current technology landscape. Design comprehensive system architectures and run iterative workshops with stakeholders to lock in project scope, always architecting with the final end-state in mind.
• Move seamlessly from high-level architecture to low-level implementation. Code, build, and deploy robust cloud systems, ensuring technical designs translate into functional, integrated realities.
• Architect and engineer enterprise-grade AI solutions—such as agentic workflows, RAG systems, and applied foundation models—backed by highly scalable, cloud-native infrastructure including event-driven microservices, containerized workloads, and serverless compute.
• Engineer functional PoV products that integrate into the customer's as-is systems to demonstrate true business value. Ensure all builds adhere strictly to engineering best practices, security standards, and scalability guidelines to ensure a smooth transition to production.

Skills

Cloud architecture

AI systems

Full-stack solutions

Stakeholder engagement

Executive communication

Education

Bachelor's degree in a technical field

Tools

Python

Java

Go

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India.

Minimum Qualifications

• 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.

Preferred 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.

About the Job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem‑solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As an Applied Solutions Architect within the Google Cloud Go-To-Market (GTM) team, you will act as the technical bridge between our customers' business challenges and Google’s engineering capabilities. You will work closely with customers to uncover their needs, architect scalable systems, and write code and build real-world applications.

You will not be building in a vacuum. Your core objective is to engineer the Proof of Value (PoV) products designed to integrate seamlessly into a customer’s existing, "as-is" systems. By keeping the final production end‑state in mind from day one, you will advocate for our AI and cloud‑native solutions to not only look great on a whiteboard but function flawlessly in their actual enterprise environment.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Lead the technical discovery sessions to understand customer requirements and their current technology landscape. Design comprehensive system architectures and run iterative workshops with stakeholders to lock in project scope, always architecting with the final end‑state in mind.
• Move seamlessly from high‑level architecture to low‑level implementation. Code, build, and deploy robust cloud systems, ensuring technical designs translate into functional, integrated realities.
• Architect and engineer enterprise‑grade AI solutions—such as agentic workflows, RAG systems, and applied foundation models—backed by highly scalable, cloud‑native infrastructure including event‑driven microservices, containerized workloads, and serverless compute.
• Engineer functional PoV products that integrate into the customer's as‑is systems to demonstrate true business value. Ensure all builds adhere strictly to engineering best practices, security standards, and scalability guidelines to ensure a smooth transition to production.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.