Field Solutions Architect III, Generative AI, Google Cloud (English, Spanish)

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  
• 7 years of experience in a statistical programming language (e.g., Python).
  
• Experience in Artificial Intelligence applications (e.g., deep learning, natural language processing, computer vision, or pattern recognition), applied machine learning techniques, or using OSS frameworks (e.g., TensorFlow, PyTorch).
  
• Experience delivering technical presentations and leading business value sessions.
  
• Ability to communicate in English and Spanish fluently to engage with local stakeholders.
  

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 MLOps and LLMOps including automation with IaC (e.g., using Terraform).
• Experience in systems design.
  
• Ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches.
  

Experience with distributed training and optimizing performance versus costs.Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using Terraform).

About the job

As a Field Solutions Architect, you will play a pivotal role in supporting our Google Cloud sales organization. You will be responsible to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to prominent companies.

In this role, you will leverage the latest Generative AI technologies to develop innovative solutions and validate their efficacy. You will be tasked to showcase the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform. You will collaborate with our product team to eliminate obstacles and shape the future trajectory of our offerings.

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 customers business process and objectives. Design Generative AI-driven solutions, spanning AI, data, and infrastructure, and work with peers to include the full cloud stack into overall architecture.
• Demonstrate how Google Cloud is differentiated by working with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in Generative AI applications.
• 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.
  

Demonstrate how Google Cloud is differentiated by working with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in Generative AI applications.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.