Senior AI Systems Architect & Engineer

Booz Allen Hamilton; Chantilly (VA); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an AI Developer and Engineer in Chantilly, VA to design, deploy, and operationalize AI systems for government and commercial sectors. You will build scalable networks, configure compute clusters, and bridge cutting-edge LLMs with legacy platforms.

Lead cross-functional teams, mentor engineers, and ensure enterprise-grade security and low-latency data pipelines across diverse environments.

Qualifications

• 7+ years of software development or systems engineering for enterprise-grade apps.
• 5+ years supporting offensive/defensive cyber operations roles.
• Experience integrating AI/LLMs into legacy architectures and APIs.
• Proficiency with containerization, orchestration, and cluster management (Docker/Kubernetes).
• Knowledge of zero-trust architecture, secure API gateways, and data governance.
• Experience with AWS/Azure/GCP and AI-optimized cloud infrastructure.
• Ability to translate client requirements into scalable designs and mentor engineers.

Responsibilities

• Design, deploy, and operate high-performance AI systems for enterprise clients.
• Build low-latency data pipelines and distributed compute clusters.
• Integrate LLMs with existing frameworks and ensure security and reliability.
• Collaborate with data scientists and engineers; mentor junior staff.

Skills

Enterprise software

Cyber operations

AI/LLMs integration

Docker & Kubernetes

Zero-trust architecture

Cloud platforms

Network & security

Education

Bachelor's degree

Master’s degree

Cloud Certification

Tools

Docker

Kubernetes

GitLab CI

Job description

Booz Allen Hamilton is seeking an AI Developer and Engineer in Chantilly, VA to design, deploy, and operationalize AI systems for government and commercial sectors. You will build scalable networks, configure compute clusters, and bridge cutting-edge LLMs with legacy platforms.

Lead cross-functional teams, mentor engineers, and ensure enterprise-grade security and low-latency data pipelines across diverse environments.