Autonomous AI Engineer: Orchestrate Multi-Agent Systems

Booz Allen Hamilton; Washington (District of Columbia); Hybrid; USD 135,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Disability coverage

Retirement benefits

Paid leave

Tuition assistance

Professional development

Work-life programs

Dependent care

Job summary

Booz Allen Hamilton is seeking an Agentic AI Engineer to design autonomous, goal oriented AI systems across Washington, DC; McLean, VA; Bethesda, MD. Build multi‑agent orchestrations using LangChain, LangGraph and AutoGen, and deploy RAG pipelines with knowledge graphs for stronger reasoning and context retention.

The role emphasizes moving from prototype to production with robust evaluation loops, edge deployment readiness, and adherence to security guidelines.

Qualifications

• 5+ years of experience in machine learning, data science, or software development.
• 3+ years of GenAI, LLMs, and agentic workflows.
• Experience with MCP for tool integration and A2A collaboration.
• Experience with RAG and knowledge graphs (Neo4j / NebulaGraph).
• Fine-tuning LLMs/SLMs for edge deployment and security.

Responsibilities

• Design and implement intelligent agent architectures with reasoning and planning.
• Develop multi-agent systems using MCP and A2A for tool usage and collaboration.
• Build RAG pipelines with knowledge graphs for enhanced context.
• Fine-tune models for edge devices and evaluate reliability and safety.
• Move prototypes to production with robust evaluation loops.

Skills

Agentic AI

LangChain

LangGraph

AutoGen

RAG

Knowledge Graphs

Edge deployment

Security clearance

Education

Bachelor’s degree in CS or AI

Tools

LlamaIndex

MCP

A2A protocols

Job description

Booz Allen Hamilton is seeking an Agentic AI Engineer to design autonomous, goal oriented AI systems across Washington, DC; McLean, VA; Bethesda, MD. Build multi‑agent orchestrations using LangChain, LangGraph and AutoGen, and deploy RAG pipelines with knowledge graphs for stronger reasoning and context retention.

The role emphasizes moving from prototype to production with robust evaluation loops, edge deployment readiness, and adherence to security guidelines.