Designs, builds, and operates agentic systems, including multi-step and multi-agent workflows, tool and function calling, Model Context Protocol (MCP) servers and integrations, retrieval-augmented generation (RAG) pipelines, and agent memory and orchestration patterns. The AI Engineer serves as a key contributor to expanding AI expertise across the organization by mentoring employees, supporting adoption of AI tools and practices, providing code and model reviews, and promoting best practices related to prompt and model evaluation, data quality, observability, and responsible deployment.