Cloud AI Engineer I - GenAI & Gemini Enterprise

Google

Mountain View (CA)

On-site

MXN 900,000 - 1,300,000

Full time

2 days ago
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Job summary

Google Cloud Consulting Professional Services is seeking a Cloud AI Engineer to design and implement machine learning solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will travel to customer sites to deploy solutions and deliver workshops, partnering with Product teams to elevate products and customer success.

You will lead architecture guidance, data migration, capacity planning, and ongoing support for Google Cloud adoption across enterprise clients,

Qualifications

  • Bachelor's degree in CS or equivalent practical experience.
  • 3 years in software engineering, cloud architecture, or tech consulting.
  • 2 years deploying production GenAI applications.
  • Proficient in Python and cloud principles (serverless, virtualization, secure networking).
  • Experience with ADKs or LangChain, LlamaIndex, AutoGen for agents.
  • Excellent English communication with global teams.

Responsibilities

  • Lead delivery of Gemini Enterprise solutions using ADKs to solve enterprise challenges.
  • Advise strategic customers to shape AI strategy and Gemini Enterprise adoption.
  • Provide architectural guidance and scalable workarounds for edge cases.
  • Deliver best-practice presentations to stakeholders, enabling Gemini Enterprise adoption.

Skills

CS degree
Software engineering
GenAI deployments
Python & cloud
ADKs frameworks
English fluency

Education

Bachelor's in CS or related field

Tools

LangChain
LlamaIndex
AutoGen

Job description

Google Cloud Consulting Professional Services is seeking a Cloud AI Engineer to design and implement machine learning solutions for customer use cases, leveraging TensorFlow, DataFlow, and Vertex AI. You will travel to customer sites to deploy solutions and deliver workshops, partnering with Product teams to elevate products and customer success.

You will lead architecture guidance, data migration, capacity planning, and ongoing support for Google Cloud adoption across enterprise clients,

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