AI Solutions Consultant

Google; Mumbai; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Google is seeking an AI Solutions Consultant to drive production-grade, multi-agent AI workflows on Google Cloud Platform. You will lead development from prototypes to scalable agentic solutions, integrating APIs and secure data access with existing infrastructure.

In this role, you will collaborate with field teams to standardize development practices, build responsive browser-based UIs for rapid demos, and guide customers through deployment while ensuring enterprise-grade reliability and

Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5 years in technical project management or customer-facing roles.
• 3 years handling enterprise systems like CRM, databases (Cloud SQL, BigQuery), security and app development services (Cloud Run, Cloud Build, Cloud Source Repositories).
• Experience taking AI-driven solutions from concept to production and architecting Gemini Enterprise-based agents on GCP.

Responsibilities

• Serve as lead developer for complex AI applications and transition prototypes to production-grade workflows.
• Architect and code integration between Google AI products and live infrastructure (APIs, data silos, security).
• Identify repeatable patterns and convert into reusable modules for other agents.
• Co-build with field teams to ensure Google-grade development practices and user adoption.

Skills

Program management

Communication

Cross-functional collaboration

AI workflows

Education

Bachelor’s degree in Computer Science or equivalent

Tools

GCP

Cloud Run

Cloud Build

Cloud Source Repositories

IAM / security concepts

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; Mumbai, Maharashtra, India.

Minimum qualifications:

• Bachelor’s degree in Computer Science Engineering, or equivalent practical experience.
• 5 years of experience in a technical project management or a customer-facing role.
• 3 years of experience with enterprise systems such as customer relationship management (CRM), databases (e.g., Cloud SQL, BigQuery), security (e.g., IAM roles, service accounts) and application development services (e.g., Cloud Run, Cloud Build, Cloud Source Repositories).
• Experience taking production-grade AI-driven solutions from conception to launch and architecting Gemini Enterprise-based agents on Google Cloud Platform (GCP).

Preferred qualifications:

• Experience setting up catalog tracking, system safeguards, and evaluation frameworks to govern and operationalize an active community-built agent repository.
• Experience implementing multi-agent systems using frameworks.
• Experience building browser-based UIs and lightweight application front-ends (e.g., Streamlit, Gradio, React) to rapidly demo and deploy vibe-coded AI workflows for end-users.
• Experience with prompt engineering and a deep understanding of how to interact with and guide large language models using Gemini.
• Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Proven ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.

About The Job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an AI Solutions Consultant, within Partner Global System Integrators (GSI), you will manage blocker to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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

• Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable return on investment.
• Architect and code the connective tissue between Google’s AI products and live infrastructure, including APIs, legacy data silos, and security perimeters.
• Identify repeatable field patterns and technical friction points in agents stack, converting them into reusable modules for other agents.
• Co-build with field to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

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 .