Cloud AI Solutions Engineer - Customer-Facing

Socket.dev

San Francisco (CA)

On-site

USD 127,000 - 184,000

Full time

7 days ago
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Job summary

Google Cloud is seeking a Practice Customer Engineer with a Cloud AI focus to partner with technical sales teams, differentiate offerings, and accelerate adoption of complex workloads. You will write code to develop prototypes, proofs-of-concept, and demos for highly specialized solutions, solving AI-centered customer challenges with a strong feedback loop to product teams.

You will collaborate with customers to understand their business and technical requirements, delivering practical solutions

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with Machine Learning model development or deployment.
  • 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 engaging with, and presenting to, technical stakeholders and executive leaders.

Responsibilities

  • Drive the technical win for complex workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.
  • Combine sales strategies and direct 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.

Skills

Cloud native architecture
Machine Learning model development
AI agent orchestration frameworks
Presenting to technical stakeholders
Executive stakeholder communication
Deep learning frameworks (PyTorch, TF,

Education

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

Job description

Google Cloud is seeking a Practice Customer Engineer with a Cloud AI focus to partner with technical sales teams, differentiate offerings, and accelerate adoption of complex workloads. You will write code to develop prototypes, proofs-of-concept, and demos for highly specialized solutions, solving AI-centered customer challenges with a strong feedback loop to product teams.

You will collaborate with customers to understand their business and technical requirements, delivering practical solutions

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