Autonomous AI Engineer: Multi-Agent Systems & Edge ML

Booz Allen Hamilton; Maryland; On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton seeks an Agentic AI Engineer to design autonomous, goal‑oriented AI systems and shift strategy from chatbots to proactive multi‑agent orchestrations. You will leverage LangChain, RAG, KG, and edge‑tuned SLMs for deployment.

The role requires 2+ years in software/ML, cloud experience (AWS/Azure), MCP/A2A, and Top Secret clearance; Bachelor’s degree. Join a team delivering production‑grade AI and rigorous evaluations.

Qualifications

• Bachelor’s degree required or equivalent experience.
• 2+ years in software development and ML engineering.
• Experience with LangChain/LangGraph/AutoGen and LLMs.
• Cloud experience (AWS/Azure) and service-based architectures.
• Familiarity with MCP/A2A, RAG, and KG integrations.
• Top Secret clearance or ability to obtain.

Responsibilities

• Design and implement intelligent agent architectures for reasoning and actions.
• Develop multi-agent systems using MCP and A2A protocols.
• Build RAG pipelines with Knowledge Graphs for context retention.
• Fine-tune LLMs/SLMs for edge deployment (ONNX/GGML/Ollama).
• Develop evaluation frameworks including ReAct and human-in-the-loop.

Skills

LangChain

LangGraph

AutoGen

LLMs

AI agents

RAG

Education

Bachelor's degree

Tools

Docker

Kubernetes

ONNX

GGML

Ollama

Neo4j

NebulaGraph

Job description

Booz Allen Hamilton seeks an Agentic AI Engineer to design autonomous, goal‑oriented AI systems and shift strategy from chatbots to proactive multi‑agent orchestrations. You will leverage LangChain, RAG, KG, and edge‑tuned SLMs for deployment.

The role requires 2+ years in software/ML, cloud experience (AWS/Azure), MCP/A2A, and Top Secret clearance; Bachelor’s degree. Join a team delivering production‑grade AI and rigorous evaluations.