Overview Solutions Architect focused on Generative AI for retail, guiding 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. As part of Google Cloud's Solution Engineering, you should know software and cloud-native development and manage multiple projects. You'll work with customers, field teams, solutions, and Google engineering to produce secure, scalable Gen AI solutions, sharing these through white papers, open-source, webinars, videos, blogs, and presentations. You'll help decision-makers adopt Google Cloud and explore 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, delivering enterprise-grade solutions and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as a trusted partner. Location note: By applying, you will have an opportunity to share your preferred working location from the following: Atlanta, GA; Austin, TX; Boulder, CO; Chicago, IL; Addison, TX; Miami, FL.

Responsibilities Design, build, and scale technical assets showcasing Google Cloud's value for retail, with emphasis on Generative AI such as 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. Qualifications Bachelor's degree in Computer Science, a related engineering field, or equivalent practical experience. 10 years of experience with one or more 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 (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. Compensation and Employment Details The US base salary range for this full-time position is $227,000-$320,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Your recruiter can share the specific range for your location during hiring. Compensation details reflect base salary only; bonus, equity, and benefits are listed separately. Learn more about benefits at Google. About Google Cloud Google Cloud delivers enterprise-grade solutions that leverage Google’s cutting-edge technology to help developers build more sustainably. We serve customers in more than 200 countries and territories. EEO and Accommodation Google is an equal opportunity 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. See Google's EEO policy and EEO is the Law. If you require accommodations, please let us know by completing the Accommodations for Applicants form. Note: This listing includes references to related roles and locations for context; the core role focuses on the responsibilities and qualifications above.

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