AI Solutions Consultant

Google Inc.; Bengaluru, Mumbai; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Google Inc. is seeking an AI Solutions Consultant to drive production-grade AI workflows and integrate Gemini Enterprise on GCP. You will oversee end-to-end deployment from concept to launch, aligning with customer needs and scalable infrastructure.

Responsibilities include architecting integration points between AI products and live systems, maintaining security perimeters, and advancing best practices with field teams to ensure successful adoption.

Qualifications

• Bachelor’s degree in Computer Science Engineering, or equivalent practical experience.

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.

Skills

CRM experience

Cloud databases (Cloud SQL, BigQuery)

Security IAM & service accounts

Cloud Run/Cloud Build/Cloud Source Re|

AI solution design

Education

Bachelor’s degree in Computer Science Engineering, or equivalent

Tools

GCP

Gemini Enterprise

Job description

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share AI Solutions Consultant

X 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.

• 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 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.