Forward Deployed Engineer, GenAI, Google Cloud
Google · Mumbai, Maharashtra, India
- On site
- Full-time
- ₹1,500,000 / year
- Mumbai, Maharashtra, India
Job highlights
- Build and deploy advanced AI solutions for customers.
- Code, debug, and integrate AI systems.
- Manage production blockers and integration challenges.
- Provide feedback to product roadmap.
- Work with strategic enterprise accounts.
About the role
Forward Deployed Engineer, GenAI, Google Cloud
As an AI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as a "builder-consultant," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. You will manage blockers to production, including solving integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing "white glove" deployment of complex 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. Key skills/competency:- GenAI
- Google Cloud
- Forward Deployed Engineer
- AI
- Machine Learning
- Python
- Agentic Solutions
- Production ML
- Data Pipelines
- Software Design
Skills & topics
- Forward Deployed Engineer
- GenAI
- Google Cloud
- AI
- Machine Learning
- Python
- Agentic Systems
- Cloud Engineering
- Developer
- Software Engineer
How to get hired
- Tailor your resume: Highlight experience with Python, GenAI, multi-agent systems, and Google Cloud.
- Showcase ML expertise: Detail your experience building ML solutions and working with technical customers.
- Emphasize production skills: Include examples of deploying AI into production environments.
- Prepare for technical interviews: Brush up on data structures, algorithms, and software design.
- Understand Google Cloud: Familiarize yourself with Google Cloud's AI offerings and customer use cases.
Technical preparation
Master Python, data structures, algorithms.,Implement multi-agent systems and patterns.,Build ML solutions and optimize LLMs.,Understand cloud integration and security.
Behavioral questions
Describe a complex AI project you deployed.,How do you handle production integration challenges?,How do you provide feedback to product teams?,How do you collaborate with customer teams?
Frequently asked questions
- What is a Forward Deployed Engineer at Google Cloud?
- A Forward Deployed Engineer (FDE) at Google Cloud is an embedded builder who bridges the gap between frontier AI products and production-grade reality for customers. They act as a 'builder-consultant,' coding, debugging, and shipping bespoke agentic solutions directly within the customer's environment.
- What are the minimum qualifications for the Forward Deployed Engineer, GenAI role at Google?
- Minimum qualifications include a Bachelor's degree in Computer Science or equivalent experience, proficiency in general-purpose languages like Python, experience with multi-agent systems frameworks, and experience building machine learning solutions with technical customers.
- What is the role of an FDE in implementing multi-agent systems?
- FDEs are expected to have experience implementing multi-agent systems using frameworks like LangGraph or CrewAI, and utilizing patterns such as ReAct, self-reflection, and hierarchical delegation.
- What does 'embedded builder' mean in the context of this Google Cloud role?
- It means you will be working directly within customer environments, not just advising, but actively coding, debugging, and deploying AI solutions to ensure they reach enterprise-grade maturity.
- How does this role contribute to Google Cloud's product development?
- As an FDE, you act as a critical feedback loop, transforming real-world field insights from customer deployments into actionable input for Google Cloud's future product roadmap.
- What are the preferred qualifications for this GenAI FDE position?
- Preferred qualifications include experience with recommendation engines, data pipelines, distributed machine learning, deep learning frameworks (Tensorflow, PyTorch), LLM-native metrics, and secure agentic workflows.
- What kind of AI applications will I be building as a Forward Deployed Engineer?
- You will serve as the lead developer for complex AI applications, transitioning prototypes to production-grade agentic workflows, including multi-agent systems and MCP servers, to drive measurable ROI.
- How can I demonstrate my suitability for the Forward Deployed Engineer role at Google?
- Highlight your experience in coding, debugging, integrating AI systems, managing production challenges, and your familiarity with Google Cloud's AI offerings. Showcase your ability to translate complex AI concepts into practical, customer-facing solutions.