Is this Generative AI Forward Deployed Engineer, Google Cloud position at Google (Google Cloud) remote?

No — this role is based on-site in Mumbai, Pune, or Bengaluru, India.

What experience level is required for this role?

This is a Senior position requiring 8–12 years of experience.

Full time 🤖 AI / ML

Generative AI Forward Deployed Engineer, Google Cloud at Google (Google Cloud)

Q: How do I apply for the Generative AI Forward Deployed Engineer, Google Cloud role at Google (Google Cloud)?

Click the "Apply on Company Site" button on this page to open Google (Google Cloud)'s application listing in a new tab and complete your application there.

Q: What skills are required for the Generative AI Forward Deployed Engineer, Google Cloud role at Google (Google Cloud)?

The required skills for this position include: Bachelor's degree in Engineering, Computer Science, or equivalent practical experience, 8 years of experience in cloud computing or technical customer-facing role, Experience building pipelines for structured and unstructured data using vector databases and RAG architectures, Experience taking production-grade AI solutions from conception to launch on cloud platforms (GCP), Experience leading technical discovery sessions, Preferred: Master's or PhD in AI, Computer Science, or related field, Preferred: Multi-agent systems experience with LangGraph, CrewAI, ADK, Preferred: Knowledge of LLM-native metrics and state management optimization.

Listed by DevShelfHub

Apply on Company Site

Mumbai, Pune, or Bengaluru, India

Hybrid

Senior · 8–12 yrs

About the Role

Enterprises need embedded builders who can ship production-grade agentic AI solutions within customer environments. Google is hiring a Generative AI Forward Deployed Engineer for Google Cloud in Mumbai, Pune, or Bengaluru.

What you'll do

Serve as developer for complex AI applications transitioning from prototypes to production agentic workflows
Architect and code integration between Google AI products and customer live infrastructure
Build evaluation pipelines and observability frameworks for accuracy, safety, and latency
Identify repeatable field patterns and convert them into reusable modules or product requests
Co-build with customer engineering teams to instill development best practices
Lead technical discovery sessions with strategic accounts

What we're looking for

Bachelor's degree in Engineering, Computer Science, or equivalent practical experience
8 years of experience in cloud computing or technical customer-facing role
Experience building pipelines for structured and unstructured data using vector databases and RAG architectures
Experience taking production-grade AI solutions from conception to launch on cloud platforms (GCP)

Skills & Technologies

Required

Bachelor's degree in Engineering, Computer Science, or equivalent practical experience 8 years of experience in cloud computing or technical customer-facing role Experience building pipelines for structured and unstructured data using vector databases and RAG architectures Experience taking production-grade AI solutions from conception to launch on cloud platforms (GCP) Experience leading technical discovery sessions Preferred: Master's or PhD in AI, Computer Science, or related field Preferred: Multi-agent systems experience with LangGraph, CrewAI, ADK Preferred: Knowledge of LLM-native metrics and state management optimization

Benefits & Perks

Health Insurance
Flexible Leave Policy
Learning Budget
EPF / NPS

Why This Role is Good for Experienced Professionals

This innovator-builder role bridges frontier AI products and production-grade reality within strategic customer accounts.
Serve as developer for complex AI applications from prototypes to production agentic workflows
Build multi-agent systems and MCP servers driving measurable ROI
Architect connective tissue between Google AI products and customer infrastructure
Build high-performance evaluation pipelines and observability frameworks
Convert field patterns into reusable modules and product feature requests
Co-build with customer engineering teams on Google-grade best practices
Work with vector databases and RAG architectures for enterprise AI solutions
Apply multi-agent frameworks (LangGraph, CrewAI, ADK) and patterns (ReAct, self-reflection)
High-agency role with founder's mindset solving production blockers
Direct access to DeepMind engineering and research minds

About Google (Google Cloud)

Google Cloud's Go-To-Market team leads the AI revolution for businesses worldwide, providing the world's most advanced AI portfolio including frontier Gemini models and the complete Vertex AI platform.

Industry: Technology
Company Size: 500+
Website: googlegooglecloud.com

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Job Details

Type: Full time
Level: Senior
Experience: 8–12 years
Location: Mumbai, Pune, or Bengaluru, India
Work Mode: Hybrid
Category: AI / ML

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