Customer Engineer II, Applied AI, Google Cloud

MINIMUM QUALIFICATIONS:

* 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.

PREFERRED QUALIFICATIONS:

* 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.

ABOUT THE JOB:

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.
• Individual pay is determined by factors including job-related skills,
• experience, and relevant education or training.
• US: $148000 - $216000 (USD) + 15% bonus target + bonus + equity + benefits
• Learn more about benefits at Google
• [https://www.google.com/about/careers/applications/benefits/].
• RESPONSIBILITIES:
• * Help prospective customers and partners understand the power of Google Cloud,
• explain technical features, help customers design architectures, and
• problem-solve any potential roadblocks.
• * Share in-depth artificial intelligence (AI) expertise to support the
• technical relationship with customers, including technology advocacy,
• supporting bid responses, product and solution briefings, Proof of Concept
• work, and partnering directly with product management to prioritize solutions
• impacting customer adoption to Google Cloud.
• * Demonstrate the business value of Google Cloud applied artificial
• intelligence solutions that meet, enhance, and innovate for our enterprise
• customers.
• * Recommend integration strategies, enterprise architectures, platforms, and
• application infrastructure required to successfully implement a complete
• solution on Google Cloud.
• * Travel to customer sites, conferences, and other related events as required,
• acting as a public advocate for Google Cloud.