Forward Deployed Engineer, Generative AI, Google Cloud
Google · Bengaluru, Karnataka, India
- On site
- Full-time
- ₹1,500,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Build generative AI solutions for Google Cloud customers.
- Bridge frontier AI products with production reality.
- Code and debug agentic solutions in customer environments.
- Solve integration, data, and state-management challenges.
- Provide deployment and feedback for product roadmap.
About the role
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 a Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.
In this role, you will need to be a high-agency engineer with a founder’s mindset. You will address blockers to production, including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.
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 Artificial Intelligence (AI) applications, transitioning from rapid prototypes to production grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
- Architect and code the 'connective tissue' between Google’s Artificial Intelligence (AI) products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and technical 'friction points' in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Key skills/competency
- Forward Deployed Engineer
- Generative AI
- Google Cloud
- Python
- AI Solutions
- Cloud Architecture
- Agentic Workflows
- LLM
- Integration
- Production Deployment
Skills & topics
- Forward Deployed Engineer
- Generative AI
- Google Cloud
- Python
- AI Solutions
- Cloud Architecture
- Agentic Workflows
- LLM
- Production Deployment
- Enterprise Systems
How to get hired
- Tailor your resume: Highlight Python, cloud AI architecture, and production-grade AI solutions experience. Emphasize experience leading technical discovery sessions and building full-stack enterprise solutions.
- Showcase AI expertise: Detail your experience with generative AI, multi-agent systems, LLM-native metrics, and secure agentic workflows. Mention specific frameworks used.
- Demonstrate customer focus: Provide examples of how you've translated customer needs into technical solutions and addressed production blockers.
- Prepare for technical deep dives: Be ready to discuss AI system architecture, cloud integration, debugging production issues, and developing evaluation pipelines.
Technical preparation
Behavioral questions
Frequently asked questions
- What is a Forward Deployed Engineer (FDE) role at Google Cloud?
- A Forward Deployed Engineer at Google Cloud acts as an embedded builder, bridging the gap between advanced AI products and their practical, production-grade implementation within customer environments. This role goes beyond traditional advisory by actively coding, debugging, and deploying bespoke agentic solutions directly with clients.
- What are the minimum qualifications for the Forward Deployed Engineer, Generative AI role at Google?
- The minimum qualifications include a Bachelor's degree in a related technical field or equivalent experience, 8 years of experience in production-grade AI solutions, L400-level Python proficiency, and experience architecting AI systems on cloud platforms. Leading technical discovery sessions with executives and building full-stack enterprise solutions are also key.
- What preferred qualifications will make a candidate stand out for this Google Cloud role?
- Preferred qualifications include a Master's or PhD in a relevant technical field. Experience with multi-agent systems using frameworks like LangGraph or CrewAI, knowledge of LLM-native metrics, and the ability to implement secure agentic workflows with tools like MCP and OAuth are highly valued.
- What kind of AI solutions will I be working with as a Forward Deployed Engineer at Google?
- You will be working with frontier AI products, specifically focusing on building and deploying production-grade agentic solutions. This includes multi-agent systems, Model Context Protocol (MCP) servers, and integrating these with customer infrastructure via APIs and legacy data silos.
- How does this role differ from a traditional consulting or solutions architect role at Google?
- This role emphasizes hands-on building and direct customer integration. Unlike advisory roles, an FDE is an innovator-builder who codes, debugs, and jointly ships solutions within the customer's environment, focusing on overcoming production blockers.
- What does 'high-agency' and 'founder's mindset' mean for this Forward Deployed Engineer position?
- It means taking initiative, proactively identifying and solving problems, and operating with a sense of ownership and innovation. You'll be expected to drive solutions forward and address complexities without constant direction, much like a founder of a startup.
- What is the role of feedback in the Forward Deployed Engineer position at Google?
- You will act as a critical feedback loop. By embedding with customers, you will gather real-world insights from deploying AI systems and translate these into actionable product feature requests for Google Cloud's Engineering teams, influencing the future roadmap.
- What are the potential working locations for this Forward Deployed Engineer role?
- Candidates have the opportunity to indicate their preferred working location from Gurgaon, Haryana, India; Bengaluru, Karnataka, India; or Mumbai, Maharashtra, India.