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Hiring companyGoogle
Verified today
Generative AI Forward Deployed Engineer
Mumbai, Maharashtra, India
About the role
As a Generative AI Forward Deployed Engineer at Google Cloud, you will serve as an embedded builder bridging frontier AI products and production-grade reality within strategic customer accounts. Day-to-day, you will code, debug, and jointly ship bespoke agentic solutions, architect integrations between Google's AI products and customer infrastructure, and build evaluation pipelines while acting as a feedback loop to Google Cloud's product roadmap. This role is based in India, with preferred working locations in Mumbai, Pune, or Bengaluru.
What you’ll do
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive
- Architect and code the 'connective tissue' between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
What you’ll bring
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in cloud computing or a technical customer-facing role.
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
- Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
- Experience leading technical discovery sessions.
Nice to have
- Master's or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of 'LLM-native' metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Skills
Cloud computingVector databasesRAG architecturesGoogle Cloud PlatformMulti-agent systemsLangGraphCrewAIADK
Education
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.