Customer Engineer, Cloud AI, Media and Entertainment

Customer Engineer, Cloud AI, Media and Entertainment Google Los Angeles, CA, USA Qualification Requirements: Bachelor’s degree or equivalent practical experience. 4 years of experience with cloud native architecture in industry or a customer‑facing or support role. Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool‑use, multi‑agent collaboration), or integrating models into autonomous workflows via advanced API prompting or RAG. Experience with machine learning model development and deployment. Experience using programming languages to design demos, prototypes, or workshops for customers. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications Master’s degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience. Experience in architecting and developing software or infrastructure for scalable, distributed systems. Experience developing and deploying Generative AI applications, with a focus on implementing RAG pipelines, integrating vector databases, and orchestrating LLM interactions via APIs. Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., LLMs, Diffusion and Multimodal Models). Familiarity with Media and Entertainment AI uses cases and workflows. Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space. About the role When leading companies choose Google Cloud, it helps spread the power of cloud computing globally. As a Practice Customer Engineer, you will partner with technical sales teams, write code, and develop prototypes, proof‑of‑concepts, and demos to solve AI‑centered customer issues. You will act as a technical advisor, building lasting relationships and providing feedback that influences product development. Responsibilities Drive the technical win for complex workloads within Cloud AI to ensure rapid adoption, primarily supporting the business cycle from technical evaluation through customer ramp. Combine business strategies and 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. US: $104000 - $151000 (USD) + 42.86% bonus target + equity + benefits Learn more about benefits at Google. 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.