Senior Ai Agents Engineer — Hybrid

Ayer

Cloud AI Engineer, Google Cloud

Share Cloud AI Engineer, Google Cloud

_corporate_fare_ Google _place_ Buenos Aires, Argentina; Mexico City, CDMX, Mexico

Mid

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

Share Cloud AI Engineer, Google Cloud

_info_outline_

X

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.

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

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 global 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 implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.

In this role, you will work with key Google Cloud customers, and together with the team, you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.

Responsibilities

• 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital statu