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Job Description

  • Drive the technical win for complex Application Modernization, Infrastructure Modernization, and AI workloads within the Retail and Energy sectors.
  • Lead development and prototyping to build functional, customer-tailored solutions that secure technical buy-in from customer domain experts (such as CTOs, CISOs, and Lead Architects).
  • Partner with Account teams, Platform CEs, and Outcome CEs to lead highly technical conversations regarding how to integrate advanced modern architectures into legacy ecosystems.
  • Advocate for and build with Google Cloud’s Artificial Intelligence (AI) and Machine Learning portfolios, ensuring local teams have the technical depth to deliver AI solutions with less dependency on external specialist groups.
  • Serve as a liaison between complex customer deployments and Google Cloud's Practice GTM, Product Management, and Engineering organizations to resolve product blockers and shape future features.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience with cloud-native architecture in a customer-facing, consulting, or technical support role.
  • Experience in deployment planning, orchestration, or change management.
  • Experience in programming languages (e.g., Python, Java, Go), debugging, or systems design.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications:

  • Experience selling or promoting technical solutions in Application Modernization (App Mod), Infrastructure Modernization (Infra Mod), and cloud migrations.
  • Experience working with product and capacity teams to resolve complex technical blockers.
  • Experience in developing and deploying solutions in a fluid, digital-native or startup environment.
  • Direct experience designing and deploying solutions leveraging Artificial Intelligence (AI) or Machine Learning (ML) models.
  • Knowledge of Enterprise Performance Management (EPM) platforms and system architecture integrations.
  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience with cloud-native architecture in a customer-facing, consulting, or technical support role.
  • Experience in deployment planning, orchestration, or change management.
  • Experience in programming languages (e.g., Python, Java, Go), debugging, or systems design.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.
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  • Role Customer Engineer, Practice, Application Modernization and AI, Google Cloud
  • Experience 3-4 years
  • Education Any
  • Work type On-site
  • Location Brazil
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
Brazil Right to work in Brazil required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Any
Experience
3-4 years

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