Cloud AI Solutions Engineer

Google LLC

Sunnyvale, New York (CA, NY)

On-site

USD 152,000 - 221,000

Full time

7 days ago
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Job summary

Google Cloud is seeking a Customer Engineer in Cloud AI to partner with technical sales teams and accelerate adoption of complex workloads. You will develop prototypes, proofs-of-concept, and demos, translating customer needs into practical, scalable solutions while collaborating with product and engineering teams.

You will solve AI-centered customer challenges and provide feedback to influence product development, with strong emphasis on communication and customer impact.

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 or deployment.
  • Experience with AI agent orchestration frameworks and integrating models into autonomous workflows via API prompting or RAG.
  • Experience engaging with technical stakeholders and executive leaders.

Responsibilities

  • Drive the technical win for complex workloads within Cloud AI to ensure rapid adoption.
  • Combine sales strategies with prototyping to provide customer-tailored solutions.
  • Provide deep technical consultation and build lasting customer relationships.
  • Contribute to reusable solutions with the Go-To-Market team.
  • Document and prioritize customer feature requests with Product/Engineering.

Skills

Cloud native architecture
ML model development
AI agent orchestration
Stakeholder communication

Education

Bachelor's degree

Tools

LangGraph
CrewAI
AutoGen

Job description

Google Cloud is seeking a Customer Engineer in Cloud AI to partner with technical sales teams and accelerate adoption of complex workloads. You will develop prototypes, proofs-of-concept, and demos, translating customer needs into practical, scalable solutions while collaborating with product and engineering teams.

You will solve AI-centered customer challenges and provide feedback to influence product development, with strong emphasis on communication and customer impact.

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