Cloud Data and AI Engineer, Google Public Sector

GoogleReston, VA
80d$147,000 - $216,000

About The Position

As a Cloud Data and AI Engineer, you'll guide National Security customers to develop, configure and deploy their data and AI solutions. Together with the team, you will support customer implementations of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and more. You'll consult with customers on how to best design their data and AI solutions including development and deployment of ML models, and integrations with leading Google technologies. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to drive excellence in Google Cloud products and features. This role brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

Requirements

  • Experience with Google Cloud products and services.
  • Strong understanding of data architecture and AI solutions.
  • Proficiency in developing and deploying machine learning models.
  • Experience in customer-facing roles, providing technical guidance and support.
  • Ability to travel to customer sites as needed.

Nice To Haves

  • Experience in the public sector or government-related projects.
  • Familiarity with data migration strategies and best practices.
  • Knowledge of capacity planning and performance monitoring tools.

Responsibilities

  • Guide National Security customers in developing, configuring, and deploying data and AI solutions.
  • Support customer implementations of Google Cloud products through architecture guidance and best practices.
  • Assist in data migration, capacity planning, implementation, troubleshooting, and monitoring.
  • Consult with customers on designing their data and AI solutions, including ML model development and deployment.
  • Integrate solutions with leading Google technologies.
  • Travel to customer sites to deploy solutions and deliver educational workshops.
  • Collaborate with Product Management and Product Engineering to enhance Google Cloud products and features.

Benefits

  • Bonus
  • Equity
  • Comprehensive benefits package

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

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