Senior Staff Cloud AI Engineer — Agent Governance & Equity

Google Inc.; Sunnyvale (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a Senior Staff Software Engineer for Cloud AI, Agent Governance in Sunnyvale, CA to architect and deliver scalable ML infrastructure and governance for enterprise deployments.

You will own outcomes, lead architecture across teams, design evaluation systems, and build tooling for agentic workflows, tool calls, and multi-turn simulations.

This role requires deep expertise in GenAI, distributed systems, and strong collaboration with product and research teams.

Qualifications

• 8 years of software development experience.
• 7 years leading technical strategy, ML design, and ML infra optimization.
• 5 years in design/architecture, testing and launching software products.
• 2 years experience with GenAI techniques or related concepts.

Responsibilities

• Architect, build, and operate large-scale ML environments for agent governance.
• Deliver evaluation infrastructure and test harnesses with enterprise visibility and security.
• Design scalable platform infrastructure for agentic systems and audit trails.
• Build metrics engines and dashboards for evaluation coverage and quality.
• Integrate evaluation runs into deployment pipelines and release gates.

Skills

Outcomes ownership

Decision making

ML design

Architectural design

GenAI techniques

LLM tool-calling

Telemetry at scale

Enterprise-grade platforms

Education

Bachelor's degree or equivalent practical experience

Tools

Large-scale ML infrastructure

Sandbox environments

Evaluation tooling

Job description

Google is seeking a Senior Staff Software Engineer for Cloud AI, Agent Governance in Sunnyvale, CA to architect and deliver scalable ML infrastructure and governance for enterprise deployments.

You will own outcomes, lead architecture across teams, design evaluation systems, and build tooling for agentic workflows, tool calls, and multi-turn simulations.

This role requires deep expertise in GenAI, distributed systems, and strong collaboration with product and research teams.