Customer Engineer III, Applied AI, Google Cloud
- linkCopy link
- emailEmail a friend
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 10 years of experience with designing cloud-native enterprise-grade technical architecture in customer-facing or support roles.
- 1 year of experience with Conversational AI technologies, including designing conversational flows/agents and operating STT/TTS.
- Experience building or leveraging AI solutions, ML APIs, prompting, agent tooling, eval frameworks and modern AI frameworks and embed it into demos.
- Experience engaging with and presenting to both technical stakeholders and executive leadership.
Preferred qualifications:
- Experience with building conversational applications and integrating it with third-party tooling (e.g., CRM, ticketing, telephony platforms).
- Experience coding in Java, C++, or Python and expertise in vibe coding.
- Familiarity with Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), machine learning templates, and document/image AI.
- Understanding of modern development methodologies and application performance tuning.
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 an Applied AI Customer Engineer, you will accelerate Google Cloud’s success by providing technical expertise in Conversational Artificial Intelligence and customer experience. In this role, you will bridge the gap between complex business challenges and highly technical Generative AI solutions. You will partner with Sales teams on high-stakes engagements as a subject matter expert to differentiate Google Cloud, and will be the lead architect for advanced Conversational AI frameworks to design resilient and scalable AI solutions. You will help customers design innovative architectures and solve complex customer experience challenges using first-party Generative AI solutions. You are both a technical expert and a thought leader who will help enterprises navigate Conversational Artificial Intelligence and customer experience from proof-of-concept to production.
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 benefits at Google.
Responsibilities
- Serve as a trusted advisor to prospective and existing customers, explaining technical features and designing cloud-based architectures.
- Provide deep technical guidance on integrating AI solutions with existing enterprise data stacks and third party stacks such as CRM, etc.
- Lead the rapid development of Proof of Concepts (PoCs) and Minimum Viable Products (MVPs), demonstrating the practical application of Google Cloud solutions, troubleshoot technical roadblocks, and recommend integration strategies for end-to-end Google Cloud solutions.
- Collaborate with product management to prioritize solutions that drive customer adoption and share in-depth AI expertise through product briefings and technology advocacy.
- Present the business value of Applied AI solutions to executive leaders and represent Google Cloud at conferences and industry events.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.