The Job

Cloud AI Engineer, Google Cloud (English)

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Cloud Engineering

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In short

Google Cloud seeks a Cloud AI Engineer to guide strategic customers in their cloud journey using AI/ML technologies, focusing on developing and deploying custom AI solutions on Google Cloud Platform. The role involves technical project management and consulting, working with client executives and partners to deliver solutions and best practices, particularly with Gemini Enterprise and agentic AI architectures.

Responsibilities

  • Lead and oversee the global delivery and implementation of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve highly complex, enterprise-scale technical challenges.
  • Serve as the trusted technical advisor to C-suite executives at Google’s most strategic global accounts, shaping their overarching AI strategy and accelerating the adoption of Gemini Enterprise.
  • Influence the core product roadmap by translating complex architectural challenges into actionable requirements for Google's Engineering teams.
  • Deliver leading practice recommendations and high-stakes technical presentations to executive boards and key business stakeholders to secure massive-scale technical wins.
  • Act as a thought leader and mentor across the Google Cloud organization, elevating the technical acumen of engineers and shaping best practices for agentic AI architectures.

Requirements

  • Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience in software engineering, cloud architecture, or technical consulting, with 2 years of experience deploying production generative AI applications.
  • Experience building and orchestrating agents using Agent Development Kits (ADKs) or frameworks (LangChain, LlamaIndex, AutoGen).
  • Experience in Python and cloud computing principles (serverless, virtualization, secure networking).
  • Experience designing modern application architectures (APIs, microservices) and integrating AI models into enterprise software.
  • Ability to communicate in English fluently to support client relationship management in this region.

Desired Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Google Cloud Certifications such as Professional Cloud Architect or Professional Machine Learning Engineer.
  • Advanced experience implementing scalable RAG architectures connected to external productivity tools and enterprise databases.
  • Experience leveraging LLMs to deploy enterprise-scale multimodal solutions across text, image, video, and audio.
  • Experience deploying enterprise GenAI platforms (Gemini Enterprise), with deep understanding of AI security, governance, and compliance standards.
  • Proven track record leading technical project deployments and engineering teams on large cloud transformations.

Benefits

  • Opportunity to work with Google's most strategic customers on critical projects.
  • Help shape the future of businesses using AI/ML technologies.
  • Work with a global network, web-scale data centers, and software infrastructure.
  • Be part of an innovative and rapidly growing business.
#AI#Google Cloud#Machine Learning#Cloud Engineering#Consulting
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Company

Google

Job Posted

2 days ago

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Senior

Locations

Bengaluru, India

Hyderabad, India

Gurugram, India

Qualification

Bachelor

Applicants

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