Customer Engineer, AI/ML, 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 engineered 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 Sales Engineer, you will work with technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers. You will help prospective customers and partners understand the power of Google Cloud, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Provide in-depth machine learning expertise to support the technical relationship with Google customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
• Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
• Travel to customer sites, conferences, and other related events as required.

Minimum qualifications:

• 3 years of experience working in IT strategy.
• Experience building machine learning solutions, machine learning operations frameworks (e.g., Kubeflow), machine learning architectures (e.g., deep learning, convolutional networks).
• Experience with big data and machine learning frameworks such as TensorFlow, JAX, PyTorch, or scikit-learn.
• Experience delivering technical presentations and engage with C-level and influence decisions.

Preferred qualifications:

• Experience with data and information management, especially as it relates to big data trends and issues within businesses.
• Experience working with Large Language Models (LLMs), LLM Operations, prompt engineering, pre-training, and fine-tuning.
• Experience architecting and developing full-stack software for scalable, distributed systems.
• Experience with customer’s existing software workloads, with the ability to define a technical migration roadmap to the Google Cloud reflecting specific customer needs.
• Bachelor's degree in Data Science or equivalent practical experience.