Cloud AI Engineer I, Google Cloud (English)

• Lead the delivery, deployment, and implementation of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve complex, enterprise-scale technical customer challenges.
• Act as a trusted technical advisor to Google’s most strategic customers to shape their AI strategy, drive, and accelerate the adoption of Gemini Enterprise.
• Provide architectural guidance on existing product challenges, collaborate closely with the engineering team to address gaps, and architect scalable workarounds for edge cases.
• Deliver leading practice recommendations and technical presentations adapted to different levels of key business and technical stakeholders (including C-suite executives) to proactively foster Gemini Enterprise adoption and enablement.

Minimum qualifications:

• Bachelor's degree in Computer Science, related field, or equivalent practical experience.
• 3 years of experience in software engineering, cloud architecture, or technical consulting
• 2 years of experience deploying production Generative AI (GenAI) applications.
• Experience in Python and cloud computing principles (serverless, virtualization, secure networking).
• Experience building and orchestrating agents using Agent Development Kits (ADKs) or frameworks (LangChain, LlamaIndex, AutoGen).
• Ability to communicate in English fluently in order to communicate with other teams.

Preferred qualifications:

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Relevant Google Cloud certifications, such as Professional Cloud Architect or Professional Machine Learning Engineer.
• Experience deploying enterprise GenAI platforms (Gemini Enterprise), with deep understanding of AI security, governance, and compliance standards.
• Advanced experience implementing scalable RAG architectures connected to external productivity tools and enterprise databases, leveraging Large Language Model (LLMs) to deploy enterprise-scale multimodal solutions across text, image, video, and audio.
• Experience leading engineering teams to design modern architectures (APIs, microservices) and deploy enterprise-scale cloud transformations with integrated AI models.

• Bachelor's degree in Computer Science, related field, or equivalent practical experience.
• 3 years of experience in software engineering, cloud architecture, or technical consulting
• 2 years of experience deploying production Generative AI (GenAI) applications.
• Experience in Python and cloud computing principles (serverless, virtualization, secure networking).
• Experience building and orchestrating agents using Agent Development Kits (ADKs) or frameworks (LangChain, LlamaIndex, AutoGen).
• Ability to communicate in English fluently in order to communicate with other teams.