Senior Cloud AI Engineer, Google Cloud (Ciudad de México)

Senior Cloud AI Engineer, Google Cloud (Ciudad de México)

03 oct
|
Google
|
Ciudad de México

03 oct

Google

Ciudad de México

Senior Cloud AI Engineer, Google Cloud (English)

Senior Cloud AI Engineer, Google Cloud (English)

corp_fare Google place Mexico City, CDMX, Mexico; Buenos Aires, Argentina

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Senior Cloud AI Engineer, Google Cloud (English)

for Mexican applicants:

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Buenos Aires, Argentina .

Minimum qualifications:
- Bachelor's degree in Computer Science, related field, or equivalent practical experience.
- 6 years of experience in software engineering, cloud architecture, or technical consulting,



including 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 to communicate with general 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.
- Experience leveraging Large Language Model (LLMs) to deploy enterprise-scale multimodal solutions across text, image, video, and audio.
- Advanced ex

📌 Senior Cloud AI Engineer, Google Cloud (Ciudad de México)
🏢 Google
📍 Ciudad de México

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