define standards, document best practices and support adoption of the platform. Required Experience Hands-on experience designing and operating production AI-agent or LLM-powered systems, not only experimenting with chat interfaces or prompt prototypes. Strong software engineering capability in Python, including API design, automated testing, asynchronous processing, dependency management … latency and cost. Strong understanding of agent security, including workload identity, least privilege, secrets management, sandboxing, approvals and audit trails. Experience observing and operating LLM or agent workloads in production, including tracing, prompt/model/tool versioning, regression monitoring and incident response. Strong AWS and cloud-native engineering experience ...