Customer Engineer III, Applied AI, Google Cloud

Apply Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; New York, NY, USA . 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 Speech-to-Text, Text-to-Speech (STT/TTS). Experience building or leveraging AI solutions, ML APIs, prompting, agent tooling, eval frameworks, and modern AI frameworks, and embedding 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 vibe coding. Familiarity with large language models (LLMs), retrieval‑augmented generation (RAG), 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 business issues 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 architectures and solve customer experience issues using first‑party Generative AI solutions. You will be a technical expert and a thought leader who will help enterprises navigate Conversational Artificial Intelligence and customer experience from proof‑of‑concept to production. Responsibilities Serve as a trusted advisor to prospective and existing customers, explaining technical features and designing cloud‑based architectures. Provide 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. Salary & Compensation US: $174,000 - $253,000 (USD) + 20% bonus target + equity + benefits Equity Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. Equal Employment Opportunity 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. 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. #J-18808-Ljbffr Google Inc.