Practice Customer Engineer, Cloud AI, HCLS, Google ...

Practice Customer Engineer, Cloud AI, HCLS, Google Cloud _corporate_fare_ Google _place_ Chicago, IL, USA; Atlanta, GA, USA; +6 more; +5 more _laptop_windows_ Remote eligible Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XThe application window will be open until at least February 9, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in San Francisco: 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. Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: Chicago, IL, USA; Atlanta, GA, USA; Austin, TX, USA; New York, NY, USA; Cambridge, MA, USA; San Francisco, CA, USA. Remote location(s): United States. Minimum qualifications: + Bacheloru2019s degree or equivalent practical experience. + 4 years of experience with cloud native architecture in industry or a customer-facing or support role. + Experience with machine learning model development and deployment. + Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), and integrating models into autonomous workflows via advanced API prompting and Retrieval-Augmented Generation (RAG). + Experience engaging with, and presenting to, technical stakeholders and executive leaders. + Experience leveraging programming or technical proficiencies to demo, prototype, or workshop with customers. Preferred qualifications: + Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience. + Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, long short-term memory (LSTM), convolutional networks). + Experience in architecting and developing software or infrastructure for scalable, distributed systems. + Experience with frameworks for deep learning (e.g., PyTorch, TensorFlow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), or using machine learning APIs. + Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space. 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 Practice Customer Engineer (CE) with a specialty in Cloud AI, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to be writing code to developing prototypes, proofs-of-concept, and demos to sell new, highly specialized solutions to customers. You will solve AI-centered customer challenges and provide a critical feedback loop to influence product development. In this role, you will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and present practical and useful solutions on Google Cloud. You will blend sales prowess, market knowledge, and direct technical engagement to prove the value of the Google Cloud portfolio. It's an exciting time to join Google Cloudu2019s Go-To-Market team, leading the AI revolution for businesses worldwide. Youu2019ll excel by leveraging Google's brand credibilityu2014a legacy built on inventing foundational technologies and proven at scale. Weu2019ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. Weu2019re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud erau2014the market is yours. The US base salary range for this full-time position is $102,000-$146,000 + 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 aboutbenefits at Google (. Responsibilities + Drive the technical win for complex workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the business cycle from technical evaluation through customer ramp. + Combine sales strategies, development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. + Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. + Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team. + Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (,Know your rights: workplace discrimination is illegal (,Belonging at Google (, andHow we hire (. If you have a need that requires accommodation, please let us know by completing ourAccommodations 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.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Created: 2026-02-04