Customer Engineer II, Applied AI, Google Cloud

The application window will be open until at least April 8th, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA;
Chicago, IL, USA;
Sunnyvale, CA, USA;
Boulder, CO, USA;
Seattle, WA, USA.

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• 2 years of experience with conversational AI technology.
• Experience building or leveraging artificial intelligence solutions or ML APIs and developing applications utilizing AI methods or frameworks.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience with development methodologies and modernizing legacy applications.

• Experience with contact center technologies and platforms and building conversational applications.
• Experience with building and using AI (e.g., ML APIs, Machine Learning templates, RAG, LLMs).
• Experience in coding using Java, C++, or Python.
• Experience with document and image AI.
• Passion for technology and innovation.

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem‑solving key technical issues for our customers.

You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

In this role, you will partner with technical Sales teams as an Applied Artificial Intelligence subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in Proofs of Concept, and troubleshoot any technical questions and roadblocks related to Google’s first‑party Generative Artificial Intelligence solutions for customer experience applications.

You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication, and organizational skills.

You will be a part of a team of fellow Googlers working in an environment of respect and where we promote equal opportunities to succeed.

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.

The US base salary range for this full‑time position is $149,000–$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, and problem‑solve any potential roadblocks.
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