Google

About Google

Empowering the world through technology and information

🏢 Tech👥 100K+📅 Founded 1998📍 Mountain View, California, United States

Key Highlights

  • Over 100,000 employees globally
  • Headquartered in Mountain View, California
  • Parent company Alphabet Inc. valued at $1.5 trillion
  • Google Cloud Platform serves millions of customers

Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...

🎁 Benefits

Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...

🌟 Culture

Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

Google

Customer Engineer Mid-Level

GoogleNew York

Posted 1w agoMid-LevelCustomer Engineer📍 New York📍 Los Angeles💰 $102,000 - $146,000 / yearly
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Overview

Google is hiring a Customer Engineer for their Cloud AI team in Media and Entertainment. You'll provide deep technical consultation to customers and leverage AI technologies to build lasting relationships. This role requires experience with cloud native architecture and AI frameworks.

Job Description

Who you are

You have a Bachelor's degree or equivalent practical experience, along with 4 years of experience in cloud native architecture, ideally in a customer-facing or support role. Your background includes working with AI agent orchestration frameworks such as LangGraph and CrewAI, and you are familiar with agentic design patterns like tool-use and multi-agent collaboration. You have experience integrating models into autonomous workflows using advanced API prompting and RAG, and you are skilled in machine learning model development and deployment.

You are proficient in using programming languages to design demos, prototypes, or workshops for customers, and you have a track record of engaging with and presenting to technical stakeholders and executive leaders. A Master's degree in a technical field is preferred, along with experience in building machine learning solutions and leveraging specific architectures like LLMs and Diffusion Models. You are adept at architecting and developing software or infrastructure for scalable, distributed systems, and you have a keen ability to learn quickly and work with emerging technologies in the cloud and IT space.

What you'll do

In this role, you will act as a technical advisor, providing deep technical consultation to customers and building lasting relationships. You will leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team. Your responsibilities will include documenting, prioritizing, and driving the resolution of customer feature requests and issues within product and engineering management systems. You will also focus on developing and deploying Generative AI applications, implementing RAG pipelines, integrating vector databases, and orchestrating LLM interactions via APIs. Familiarity with Media and Entertainment AI use cases and workflows will be beneficial as you work closely with clients to understand their needs and deliver tailored solutions.

What we offer

At Google, you will be part of a team that is at the forefront of cloud computing and AI technologies. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. You will have opportunities for professional growth and development, working alongside experts in the field. Our culture promotes collaboration and innovation, and we are committed to making a positive impact in the Media and Entertainment industry through our cloud solutions.

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