VibeCodeCareers 
On-site in Gurugram, India, this mid-level role at Google involves working with the Google Cloud Platform team. You'll focus on developing AI solutions and integrating them into enterprise systems.
Skills / Requirements
- Agentic Workflows
- AI-driven Solutions
- APIs
- Enterprise Systems
- Gemini Enterprise
- Google Cloud Platform
- Gradio
- Legacy Data Silos
- MCP
- Multi-agent Systems
- OAuth Authentication
- Prompt Engineering
- React
- Security Perimeters
- State Management
- Streamlit
- System Safeguards
- Technical Project Management
- Tool-calling
- Vibe Coding
Why Apply
This role is ideal for those experienced with AI-driven solutions, especially using Google's Gemini Enterprise. You'll leverage AI tools to create production-grade agentic workflows, optimizing state management and security.
What You'll Be Doing
You'll lead the development of complex AI applications, transforming prototypes into production-ready workflows. Your work involves integrating Google's AI products with existing infrastructures and creating reusable modules for efficiency.
Working in Gurugram, India
- Gurugram is a major tech hub in India, attracting top talent and offering numerous networking opportunities.
- The city has a growing number of co-working spaces, ideal for tech professionals seeking collaborative environments.
- Gurugram's proximity to New Delhi provides access to a larger metropolitan area with diverse cultural and social activities.
- The region offers a range of residential options, from urban apartments to suburban homes, catering to different lifestyle needs.
Pay and Career Growth
The role offers exposure to cutting-edge AI technologies and enterprise-grade solutions. Working at Google provides a collaborative environment with opportunities for mentorship and professional development. Equity grants are discretionary and subject to approval.
Benefits and Perks
- English proficiency required
- Equal opportunity
- Equity
- Global collaboration
Is This Role Right for You?
Good fit if you...
- Experienced with AI-driven solutions and enterprise systems.
- Comfortable with architecting and coding complex workflows.
- Skilled in managing integration complexities and data readiness issues.
May not be for you if...
- Lacks experience with Google Cloud Platform and AI technologies.
- Unfamiliar with enterprise-grade security and state management.
- Prefers remote work over on-site collaboration.
Original Job Description
AI Solutions Consultant, Partner GSI, Google Cloud
corporate_fare Google place Bengaluru, Karnataka, India; Gurugram, Haryana, India; +4 more; +3 more
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
info_outline
XNote: 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; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India .
Minimum qualifications:
Bachelor’s degree in Computer Science Engineering, or equivalent practical experience.
8 years of experience in a technical project management or a customer-facing role.
7 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 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 setting up catalog tracking, system safeguards, and evaluation frameworks to govern and operationalize an active community-built agent repository.
Experience with prompt engineering and a deep understanding of how to interact with and guide large language models using Gemini.
Experience implementing multi-agent systems using frameworks.
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, 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 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
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./privacy-policy) .
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 alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
