**Minimum qualifications**:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 5 years of experience in a statistical programming language (e.g., Python).
- Experience delivering technical presentations and leading business value sessions.
- Ability to communicate in English and Spanish fluently to support client relationship management in this region.
**Preferred qualifications**:
- Master's degree in Computer Science, Engineering, or a related technical field.
- Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
- Experience with distributed training and optimizing performance versus costs.
- Experience with CI/CD solutions in the context of Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) including automation with IaC (e.g., using Terraform).
- Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
About the job
In this role, you will leverage the latest Generative AI technologies to develop innovative solutions and validate their efficacy. You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform.Being at the front of expanding the boundaries of our Generative AI technology, you will have close collaboration with our Product team to eliminate obstacles and shape the future trajectory of our offerings. You will be able to grow in ambiguous situations. You will be adept at disseminating the lessons learned to customers and internal Google teams.




Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**:
- Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design Generative AI-driven solutions, spanning AI, Data, and Infrastructure, and work with peers to include the full cloudstack into overall architecture.
- Build repeatable technical assets (i.e., scripts, templates, reference architectures, etc.) to enable customers and internal teams.
- Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
- Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.

📌 Field Solutions Architect, Generative Ai, Google Cloud (English, Spanish) (Ciudad de México)
🏢 Google
📍 Ciudad de México