Customer Engineer III, Applied AI, Google Cloud

1 Hour ago • 10 Years + • Artificial Intelligence • $165,000 PA - $245,000 PA

Job Summary

Job Description

As a Customer Engineer III, Applied AI, you'll partner with technical sales teams as an Applied AI subject matter expert, differentiating Google Cloud to customers. You'll help prospective and existing customers understand Google Cloud's power, develop cloud solutions, engage in proofs of concept, and troubleshoot technical issues related to Google's Generative AI solutions. Responsibilities include explaining technical features, designing architectures, problem-solving, sharing AI expertise, supporting bid responses, and partnering with product management. You'll demonstrate the business value of Google Cloud's Applied AI solutions, recommend integration strategies, and travel to customer sites and events. The role requires strong technical, communication, and organizational skills.
Must have:
  • Bachelor's degree in related field or equivalent experience
  • 10+ years cloud native architecture experience
  • 3+ years Conversational AI experience
  • AI solution/ML API experience
  • Experience with development methodologies and application performance tuning
  • Experience presenting to technical and executive stakeholders
Good to have:
  • Experience with contact center technologies
  • Experience building conversational applications
  • Experience with Java, C++, or Python
  • Experience with document and image AI
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • 3 years of Conversational AI technology experience.
  • Experience building or leveraging Artificial Intelligence Solutions or ML APIs and developing applications utilizing AI methods or frameworks.
  • Experience with development methodologies, modernizing legacy applications, and application performance profiling and tuning.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.

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.

As a Customer Engineer, you will partner with technical Sales teams as an Applied AI 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 challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to Google’s first-party Generative AI solutions for customer experience applications. You will use your 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 technical, communication and organizational skills.

In this role, you will be a part of a team of fellow Googlers working in an environment of respect and where we promote equal opportunities.

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 $165,000-$245,000 + 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 .

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 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 AI 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.

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