Cloud AI Engineer, Google Cloud
Buenos Aires, Argentina; Mexico City, CDMX, Mexico
Contract: Permanent
Working Hours: Full-time
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 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).

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.




- Experience leveraging Large Language Model (LLMs) to deploy enterprise-scale multimodal solutions across text, image, video, and audio.
- Advanced experience implementing scalable RAG architectures connected to external productivity tools and enterprise databases.
- Proven track record leading technical project deployments and engineering teams on large cloud transformations.

About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's integral network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Engineer, you will design and implemen

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