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Google

Senior Forward Deployed Engineer, Cloud Applied AI

Google

Published 16 May 2026
Bangalore, India
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Key skills

AI
NLP
Reinforcement Learning
Information Retrieval
Machine Learning
Computer Science
Integrations
CICD
Software Design
System Design
Technical Leadership
Solution Architect
Continuous Deployment
Full Stack
LLMs
Forward Deployed Engineer
Generative AI
Cloud
Testing
Audio
Infrastructure
Architecture
Multimodal
PhD
Storage
Data
Security
UI
Startup

Tools, Libraries and Frameworks

Vertex AI
GCP
BigQuery
Dialogflow
LOOP

Description

The role involves partnering with customers to design, develop, debug, and deploy artificial intelligence agents and solutions. The engineer will write code, create custom tooling, and contribute to the core product codebase. Responsibilities include systematizing learnings from customer engagements to create reusable tools and documentation. The position requires providing technical guidance on agent performance, tuning, and production readiness. The engineer will also serve as a feedback loop to product and engineering teams to influence strategy.

Required Qualifications and Skills

Candidates must possess a Bachelor’s degree or equivalent practical experience. The role requires five years of experience in software development, product testing or launching, and work with speech, audio, reinforcement learning, or machine learning infrastructure. Additionally, three years of experience in software design or architecture is necessary. Proficiency in Generative AI concepts is required, and a Master’s degree or PhD is preferred.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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