Senior Forward Deployed Engineer, Cloud Applied AI
Google · Bangalore, India
About this role
Google is hiring a senior-level Field Engineer in the software engineering function based in Bangalore, India. The posting calls out experience with GCP, BigQuery, LLMs, Reinforcement Learning.
- Role
- Field Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Bangalore, India
- Posted
- May 13, 2026
More roles at Google
Job description
from Google careersGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Applied AI (AAI) organization is Google Cloud's engine for transforming business with groundbreaking packaged generative Artificial Intelligence (AI) solutions. The team focuses on turning business challenges into reasoning-based AI solutions that drive rapid, measurable business growth. Our product portfolio includes the Gemini Enterprise for Customer Engagement suite which offers prebuilt and configurable agents developed using Google’s Gemini models to help businesses transform the entire customer lifecycle from initial product discovery to post-purchase resolution along with many other domain-specific enterprise AI applications.
Responsibilities
- Partner with customers to design, co-develop, debug, and deploy Artificial Intelligence (AI) agents and solutions.
- Act as a problem solver, empowered to write codes, develop custom tooling, and contribute to the core product codebase.
- Systematize learnings from customer engagements while working with AI team members to create reusable tools, documentation, and accelerators.
- Serve as a feedback loop to core Product and Engineering teams, synthesizing field insights to influence strategy.
- Provide technical guidance on agent improvement, performance tuning, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and production readiness.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in software development.
- 5 years of experience with testing or launching software products.
- 5 years of experience with speech/audio, reinforcement learning, or Machine Learning (ML) infrastructure.
- 3 years of experience with software design/architecture.
- Experience with Generative AI (GenAI) concepts (e.g., Large Language Model (LLM), multi-modal, large vision models).
Preferred qualifications:
- Master’s degree or PhD in Engineering or Computer Science.
- 3 years of experience in technical leadership with leading project teams.
- Experience in Vertex AI, BigQuery, Cloud Storage, and Dialogflow.