AI/ML Supportability Tech Lead

Google

Sunnyvale (CA)

On-site

USD 176,000 - 256,000

Full time

6 hours ago
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Job summary

Google Cloud Platform team in Sunnyvale seeks a Senior Technical Solutions Engineer focusing on AI/ML support and platform reliability. You will partner with cross-functional teams to design scalable support processes, troubleshoot complex issues, and shape the future of AI-driven customer experiences.

Requires 13+ years in technical roles, deep GCP and AI model training experience, and strong leadership to drive projects across product and engineering.

Qualifications

  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
  • 13 years of experience in a technical role with troubleshooting/triage.
  • Experience with Google Cloud Platform, ADK, Generative AI, and AI model training, testing, evaluation, and tuning processes.

Responsibilities

  • Partner with Support, Engineering, and cross-functional leadership to define and drive the roadmap for technical support innovation and agility across the AI/ML product portfolio.
  • Identify customer issues, advocate for their needs with internal teams to deliver support and products.
  • Resolve technical troubleshooting and mitigate complex systemic problems faced by our customers.
  • Design the future state of technical support and customer experience by defining standards for support processes, telemetry, tooling, and readiness.
  • Oversee support launch readiness and excellence for new AI/ML products and identify opportunities to transform the support experience.

Skills

GCP
Generative AI
AI model training
Web technologies
AI debugging

Education

Bachelor's degree in STEM

Tools

ADK

Job description

Google Cloud Platform team in Sunnyvale seeks a Senior Technical Solutions Engineer focusing on AI/ML support and platform reliability. You will partner with cross-functional teams to design scalable support processes, troubleshoot complex issues, and shape the future of AI-driven customer experiences.

Requires 13+ years in technical roles, deep GCP and AI model training experience, and strong leadership to drive projects across product and engineering.

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