with enterprise systems via Microsoft Graph, APIs, and Power Platform connectors Implement secure-by-design and responsible AI practices: guardrails, controls, monitoring, auditability Build observability: logging, telemetry, and LLM monitoring for quality and incident triage Create reusable assets - prompt libraries, agent templates, connectors, test harnesses, and documentation Conduct rapid prototyping … cloud-native engineering, and secure deployment patterns Experience with agent engineering: orchestration, lifecycle management, versioning, drift detection Familiarity with DevOps, CI/CD, IaC, observability, and modern engineering pipelines Ability to debug unexpected AI behaviour - hallucinations, variability, reliability issues Strong documentation skills and ability to produce reusable code assets ...