Cloud AI Engineer

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Cloud AI Engineer

Google

Hyderabad

3+ years

1 day ago

$51.8K–73.5K/yr

Full-time

Onsite

Skills Required LLM

Gen AI

RAG

LangChain

LlamaIndex

Gemini Enterprise

AutoGen

Python

API design

Microservices

GCP

AI security

Description Cloud AI Engineer role on Google Cloud’s Technical Onboarding Center team, focused on helping strategic customers adopt Gemini Enterprise and Google’s Agentic AI suite. The role emphasizes production-ready architectures, technical leadership, and customer enablement.

Company: Google

Role: Cloud AI Engineer, Technical Onboarding Center

Location: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India; Pune, Maharashtra, India

Experience

• 3 years of experience in software engineering, cloud architecture, or technical consulting
• 2 years of experience building and deploying GenAI applications, intelligent agents, or LLM-powered solutions to production
• Experience building and orchestrating agents using ADKs, LangChain, LlamaIndex, and AutoGen
• Experience designing modern application architectures, including API design and microservices
• Experience integrating AI models into existing enterprise software systems
• Experience with Python

Qualification

• Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience

Responsibilities

• Lead the delivery, deployment, and implementation of Gemini Enterprise solutions
• Use ADKs to solve complex, enterprise-scale technical customer challenges
• Act as a trusted technical advisor to strategic customers
• Shape customer AI strategy and accelerate adoption of Gemini Enterprise
• Provide architectural guidance on existing product challenges
• Collaborate closely with the engineering team to address gaps
• Architect scalable workarounds for edge cases
• Deliver leading practice recommendations and technical presentations to business and technical stakeholders
• Adapt presentations for different stakeholder levels, including C-suite executives
• Proactively foster Gemini Enterprise adoption and enablement
• Design and implement robust, production-ready application architectures
• Support customer use cases with Gemini Enterprise and core Google AI products
• Help customers transform workflows with autonomous agents
• Remove technical barriers to successful deployment and high adoption
• Monitor application performance
• Debug and troubleshoot complex agent behaviors
• Address customer and partner needs
• Lead the end-to-end execution of adopting Google Cloud Platform solutions to the customer

Additional Responsibilities

• Work with customers to identify opportunities to transform workflows
• Ensure timely execution of customer adoption initiatives
• Support security, reliability, and scalability expectations in cloud solutions
• Enable customers across developers, small and large businesses, educational institutions, and government agencies
• Work in a global environment with English proficiency required

Nice To Have

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Google Cloud Professional certifications
• Experience implementing scalable RAG architectures
• Experience securely connecting LLMs with external productivity tools such as Google Workspace
• Experience connecting LLMs with complex enterprise databases in high-traffic environments
• Experience leading technical project deployments
• Experience working with engineering teams
• Experience acting as the technical lead on large-scale cloud transformations
• Experience deploying, configuring, and managing enterprise-grade generative AI platforms, particularly Gemini Enterprise
• Understanding of data privacy regulations
• Understanding of enterprise-grade AI compliance requirements

More Skills Google Cloud Agentic AI suite, Agent Development Kits (ADKs), GenAI applications, Intelligent agents, LLM-powered solutions, Google Workspace, Enterprise databases, Large Language Models (LLM) governance, Guardrails, Enterprise compliance

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