Field Solutions Architect, Generative AI

About The Job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Generative AI Field Solutions Architect, you will support our Google Cloud Sales organization. You will construct prototype Generative AI applications tailored to Google Cloud customers, catering to a diverse clientele ranging from early stage startups to large-scale companies. You will leverage the latest Generative AI technologies to develop innovative solutions and validate their efficacy. You will showcase the latest Generative AI capabilities through direct collaboration with customers. You will be instrumental in materializing functional solutions on the Google Cloud platform.

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 goals. 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 such as 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 with product and partner organizations on external enablement. Travel as needed.

Minimum qualifications:

• Bachelor’s degree in a technical field, or equivalent practical experience.
• 3 years of experience in Artificial Intelligence, Stakeholder Management, Professional Services, Solution Engineering, or Technical Consulting.
• 1 year of experience in technical troubleshooting and writing code in one or more programming languages.

Preferred qualifications:

• Master's degree in Computer Science, Engineering, or a related technical field.
• Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
• Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
• 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. Terraform).