Cloud AI Engineer — Media & Entertainment

Google LLC

New York, San Francisco (NY, CA)

On-site

USD 152,000 - 221,000

Full time

12 days ago

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Job summary

Google LLC in New York, NY, is seeking a Practice Customer Engineer for Media and Entertainment with a Cloud AI focus. You will partner with technical sales teams to differentiate Google Cloud and accelerate adoption of complex workloads, writing code and prototypes to demonstrate solutions.

You will engage with customers to understand business and technical needs, present practical AI-enabled workflows, and collaborate with Product and Engineering to drive reusable assets that scale across

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 10 years of cloud native architecture experience in a customer-facing or support role.
  • Experience with machine learning model development and deployment.
  • Experience with AI agent orchestration frameworks and multi-agent workflows.
  • Experience presenting to technical stakeholders or executive leaders.

Responsibilities

  • Drive the technical win for complex workloads within Cloud AI to ensure rapid adoption.
  • Provide functional, customer-tailored solutions that secure buy-in from domain experts.
  • Offer deep technical consultation and build lasting customer relationships.
  • Document and prioritize customer feature requests with Product/Engineering.
  • Engage with customers to understand business and technical requirements and present practical solutions.

Skills

Cloud native architecture experience
Machine learning model development
AI agent orchestration frameworks
Executive stakeholder communication

Education

Bachelor's degree or equivalent practical experience
Master's degree in CS/Engineering/Math or related field

Tools

LangGraph
CrewAI
AutoGen
PyTorch
TensorFlow
Jax
Ray

Job description

Google LLC in New York, NY, is seeking a Practice Customer Engineer for Media and Entertainment with a Cloud AI focus. You will partner with technical sales teams to differentiate Google Cloud and accelerate adoption of complex workloads, writing code and prototypes to demonstrate solutions.

You will engage with customers to understand business and technical needs, present practical AI-enabled workflows, and collaborate with Product and Engineering to drive reusable assets that scale across

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