The Staff Software Engineer for Agentic AI in Trust and Safety at Google will lead the development of advanced AI/ML systems and distributed infrastructure aimed at enhancing user protection. This role involves steering a high-performing engineering organization and managing complex technical initiatives from discovery to deployment. The engineer will work closely with product, policy, and data science teams to create a robust technology stack. The position requires a blend of technical expertise and leadership to drive excellence across various engineering practices.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience with designing and implementing large-scale distributed systems.
• 5 years of experience with machine learning infrastructure or another ML field.
• Experience with architectural ownership for distributed systems or infrastructure components.
• Experience building and deploying agentic AI systems.

• Define, advocate, and execute the overarching Trust and Safety technology roadmap.
• Architect next-generation AI/ML systems and highly reliable distributed infrastructure.
• Oversee the integration of high-availability, low-latency production systems with stringent Service Level Objective guarantees.
• Steer critical, multi-team technical initiatives from initial discovery to large-scale deployment.
• Define standards for fault-tolerant architectures while mentoring Tech Leads in industry best practices.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.