Booz Allen Hamilton is seeking a highly skilled Agentic AI Engineer to join their team, specializing in building autonomous, goal-oriented AI systems. The role involves designing intelligent agent architectures, developing multi-agent systems, and fine-tuning Small Language Models for edge deployment.
Responsibilities:
- Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen
- Develop and deploy multi-agent systems using MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocols to facilitate communication, tool usage, and collaborative task solving
- Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention
- Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama
- Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop