AI LLM Engineer

Siemens Medical Solutions USA is hiring an AI LLM Engineer to design and deploy LLM-powered applications, including RAG pipelines and enterprise copilots, for healthcare analytics. This role involves building AI agents using LangChain, Semantic Kernel, and Azure AI Foundry, integrating with Snowflake and Power BI. The position is based in Atlanta with hybrid flexibility.

• Design, build, and deploy LLM-powered applications with RAG and multi-agent workflows. Develop AI copilots and natural language interfaces over enterprise data platforms. Build and orchestrate AI agents using LangChain, LangGraph, Semantic Kernel, Copilot Studio, and Azure AI Foundry. Implement context management and evaluation frameworks for LLM reliability. Integrate ML models for forecasting and anomaly detection with LLM systems. Design AI-ready data layers on Snowflake and enable NL querying with Power BI/Fabric. Build intelligent automation using Python and APIs.

• Experienced engineer specializing in Applied AI, LLMs, and intelligent automation. Strong foundation in Snowflake, Power BI/Fabric, and modern analytics ecosystems. Proficiency in Python and ML frameworks. Experience with RAG, agentic systems, and LLM evaluation. Ability to collaborate with business stakeholders and data teams.