Solutions Architect, Retail, Google Cloud

The application window will be open until at least September 22, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Miami, FL, USA.Minimum qualifications: • Bachelor's degree in Computer Science, a related engineering field, or equivalent practical experience. • 10 years of experience with one or more of the following Google Cloud services within a Retail context: VertexAI, BigQuery, BigTable, Spanner, Dataflow, Google Kubernetes Engine, Google Compute Engine. • Experience in Artificial Intelligence applications (e.g., deep learning, natural language processing, computer vision, or pattern recognition), applied machine learning techniques, or using OSS frameworks (e.g., TensorFlow, PyTorch). Preferred qualifications: • Master's degree in Computer Science, a related engineering field. • Understanding of the current state of Artificial Intelligence, Machine Learning, and Data Analytics. • Excellent communication, written, presentation and problem solving skills. About the job As a Solutions Architect focused on Generative AI for retail, you'll guide customers in implementing best practices and creating solutions using AI. This includes Agentic applications, Generative Media for marketing, and AI-powered catalog data enrichment. You'll direct the reliable and safe production deployment of these AI workloads. Within Google Cloud's Solution Engineering, you should know software and cloud-native development and manage multiple projects. A key task is to work with customers, field teams, solutions, and Google engineering to produce secure, scalable Gen AI solutions. You'll share these through white papers, open-source, webinars, videos, blogs, and presentations. Your passion for tech, learning, and problem-solving, along with customer enthusiasm, will empower decision-makers to adopt Google Cloud. You'll communicate with businesses to help them adopt Google products on their cloud journey. You'll explore and experiment with our Gen AI suite to build and deploy cloud solutions for retail use cases, providing feedback to product teams while developing architectures, best practices, and adoption strategies. 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 $227,000-$320,000 + 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 • Design, build, and scale technical assets showcasing Google Cloud's value for retail, with emphasis on Generative AI like agentic apps, marketing media, and AI data enrichment to drive customer growth and efficiency. • Align with stakeholders across product, solution, and content teams, as well as customers, ensuring market-aligned assets that integrate into Go-To-Market initiatives. • Create reusable assets, including reference architectures and open-source code, guiding Gen AI implementation in retail. • Develop open-source technical solutions leveraging retail and cloud expertise, transforming ideas into opportunities for intelligent agents, synthetic media, and enhanced product information. • Represent the retail customers, feeding back to Product teams to shape future AI solutions.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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.