Applied AI Engineer

Google is a technology company whose Google Cloud division provides enterprise-grade solutions that help organizations digitally transform and solve critical business problems. The Applied AI Engineer will build, deliver, and optimize production-grade agentic AI systems, evaluation pipelines, observability frameworks, and supporting infrastructure for conversational customer experiences.

Responsibilities:

• Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency
• Own the delivery of the Customer User Journeys (CUJs), ensuring that conversational flows are not just functional, but optimized and production ready for (top customer/industry priorities)
• Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking
• Implement critical infrastructure including rate limiting, error managing, and regional failover strategies; develop monitor systems and alerting dashboards during "Go-Live" windows to ensure stability as traffic scales
• Travel up to 50% of the time