Applied AI Engineer

Google Cloud provides enterprise-grade cloud solutions that help organizations digitally transform and solve critical business problems. The Applied AI Engineer will develop, deploy, and optimize production-grade AI and agentic systems, including multilingual NLP, RAG, evaluation, observability, and reliability infrastructure.

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