The right candidate will not only know how to build enterprise-grade systems in C#, NET, APIs, distributed services, databases, and cloud platforms, but will also be actively engaged with modern AI architectures, including LLM-based workflows, retrieval-augmented generation, agentic patterns, model orchestration, prompt engineering, evaluation frameworks, and AI governance practices. Design and implement AI architectures that may include LLMs, retrieval-augmented generation, vector databases, semantic search, prompt orchestration, model APIs, agents, workflow engines, evaluation pipelines, MCP and human-in-the-loop review patterns.