TS/SCI Agentic AI Engineer – Advanced Autonomy

631 Booz Allen Hamilton_United States; Maryland; On-site; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Paid time off

Tuition assistance

Professional development

Work-life programs

Job summary

Booz Allen is seeking an Agentic AI Engineer to design, build, and deploy autonomous AI agents capable of using tools, interfacing with software systems, and executing multi-step tasks. You will craft agent architectures, including decision logic, memory systems, and orchestration flows for reliable operations.

The role requires 5+ years in Python software design, experience with AI agents, tool integration, and memory architectures, plus strong knowledge of containers and distributed systems.

Qualifications

• 5+ years of experience designing and implementing software systems in Python.
• Experience creating AI agents or multi-step LLM workflows, including defining agent behavior, sequencing, or state-transition logic.
• Experience integrating tools, APIs, or external services into AI-driven or workflow-oriented systems.
• Experience building or maintaining memory systems such as session state, long-term persistence, or vector-based retrieval.
• Experience implementing inference request flows, including handling latency, token limits, and batching strategies.
• Experience writing integration tests for multi-service or multi-component systems.
• Knowledge of containerization and CI/CD pipelines.
• Knowledge of distributed system patterns such as asynchronous task handling, message routing, or service-based architectures.

Skills

Python

Agentic AI

Tool integration

Memory systems

Inference pipelines

Integration testing

Containerization

Distributed systems

Education

Bachelor’s degree in Computer Science/Engineering/Data Science

Tools

Docker

Kubernetes

LangGraph

CrewAI

AutoGen

Redis

Postgres

AWS Bedrock AgentCore

Google Gemini Enterprise Agent Platform

Job description

Booz Allen is seeking an Agentic AI Engineer to design, build, and deploy autonomous AI agents capable of using tools, interfacing with software systems, and executing multi-step tasks. You will craft agent architectures, including decision logic, memory systems, and orchestration flows for reliable operations.

The role requires 5+ years in Python software design, experience with AI agents, tool integration, and memory architectures, plus strong knowledge of containers and distributed systems.