Cloud AI Engineer, Google Cloud (English)

• 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.

Minimum qualifications:

• 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.

Preferred 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.
  

• 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.