Mission-Critical Agentic AI Engineer

Booz Allen; Annapolis (MD); On-site; USD 78,000 - 176,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Disability benefits

Retirement benefits

Paid leave

Tuition assistance

Work-life programs

Job summary

Booz Allen is seeking an Agentic AI Engineer to design, build, and deploy autonomous AI agents for complex cyber missions. You will work with mission systems and cyber operators to deliver scalable, production-ready agentic solutions that enhance decision-making and operational throughput.

You will develop agent architectures, memory systems, and orchestration frameworks, while implementing evaluation, monitoring, and governance to ensure reliable performance in mission environments.

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.
• Ability to obtain a TS/SCI clearance with a polygraph.
• Bachelor's degree in Computer Science, Engineering, or Data Science.

Responsibilities

• Design, build, and deploy AI agents capable of autonomous execution of multi-step workflows.
• Collaborate with mission systems and cyber operators to deliver scalable agentic solutions.
• Develop agent architectures, decision-making logic, memory systems, and orchestration frameworks with robust monitoring.

Skills

Python

AI agents

API integration

Memory systems

Inference latency

Integration tests

Containerization

Distributed systems

Security clearance

TS/SCI clearance

Communication skills

Multi-agent workflows

State machines

Agent memory architectures

Observability & monitoring

Orchestration frameworks

Cloud AI platforms

Resilience patterns

Docker

Kubernetes

Education

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

Tools

Docker

Kubernetes

Redis

PostgreSQL

Job description

Booz Allen is seeking an Agentic AI Engineer to design, build, and deploy autonomous AI agents for complex cyber missions. You will work with mission systems and cyber operators to deliver scalable, production-ready agentic solutions that enhance decision-making and operational throughput.

You will develop agent architectures, memory systems, and orchestration frameworks, while implementing evaluation, monitoring, and governance to ensure reliable performance in mission environments.