Senior Staff AI Platform Engineer, Cloud Governance

Google

Town of Montana (WI)

On-site

USD 262,000 - 364,000

Full time

9 days ago
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Job summary

Google is seeking a Senior Staff Software Engineer for Cloud AI, Agent Governance, in Sunnyvale, CA. You will own complex, high-impact systems spanning agent behaviors, tool calling, and multi-turn workflows, with emphasis on reliability, security, and enterprise-grade governance.

You will lead design and delivery of scalable platform infrastructure, integrate multiple product teams, and help advance Google Cloud’s AI initiatives for diverse industries.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure.
  • 5 years of experience with design and architecture, testing, and launching software products.
  • 2 years of experience with GenAI techniques or related concepts.

Responsibilities

  • Architect, build, and operate large-scale environments for agent behaviors and tool calling in sandboxes.
  • Deliver reproducible evaluation infrastructure and automated test harnesses for enterprise visibility and compliance.
  • Design and scale platform infrastructure for agentic systems validation and auditing.
  • Build metrics engines and dashboards to track evaluation coverage and quality metrics.
  • Integrate evaluation runs into deployment pipelines with release gates.

Skills

Software development
Technical leadership
GenAI concepts
LLM knowledge

Education

Bachelor's degree or equivalent

Tools

Distributed systems
ML platforms
Observability

Job description

Google is seeking a Senior Staff Software Engineer for Cloud AI, Agent Governance, in Sunnyvale, CA. You will own complex, high-impact systems spanning agent behaviors, tool calling, and multi-turn workflows, with emphasis on reliability, security, and enterprise-grade governance.

You will lead design and delivery of scalable platform infrastructure, integrate multiple product teams, and help advance Google Cloud’s AI initiatives for diverse industries.

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