Senior AI Systems Engineer - LLMs, MLOps & Secure Cloud

Booz Allen Hamilton; Chantilly (VA); Hybrid; USD 113,000 - 257,000; Full time

Benefits offered by this job

Health benefits

Paid leave

Tuition assistance

Retirement plan

Work-life programs

Job summary

Join Booz Allen Hamilton to design, deploy, and operationalize high-performance AI systems for government and commercial clients. You’ll architect scalable networks and data pipelines, integrate LLMs with legacy architectures, and collaborate with data scientists and engineers to ensure security and reliability across diverse environments.

Lead a forward-thinking technical team, establish MLOps practices, and drive innovation while balancing architectural rigor to empower clients to make

Qualifications

• 7+ years of experience in software development or systems engineering building, deploying, and maintaining enterprise-grade applications.
• 5+ years of experience supporting offensive or defensive cyber operations roles.
• Experience integrating modern AI and Large Language Models (LLMs) into existing legacy architectures, APIs, and enterprise systems.
• Experience with containerization, orchestration, and cluster management platforms, including Docker and Kubernetes.
• Knowledge of zero-trust architecture, secure API gateways, and data governance controls for AI/LLM deployments.
• Knowledge of cloud infrastructure services, such as AWS, Azure, or GCP, optimized for AI/ML and distributed processing such as GPU instances, vCPUs, and high-speed networking fabrics.
• Knowledge of network engineering fundamentals, low-latency protocols, system security, and data pipeline architectures supporting model inference and training.
• Ability to collaborate with cross-functional technical teams, translate complex client requirements into scalable system designs, and mentor junior engineers.
• TS/SCI clearance with a polygraph

Responsibilities

• Architect, design, and deliver high-performance AI systems for complex enterprise environments.
• Build low-latency data pipelines and distributed compute clusters for AI workloads.
• Integrate LLMs with legacy frameworks and APIs.
• Ensure enterprise-grade security and reliability across environments.
• Guide and mentor a technical team to deliver mission-driven AI capabilities.

Skills

Software dev

Systems engineering

Cyber ops

AI/LLMs integration

Containerization

Zero-trust security

Cloud infrastructure

Networking basics

Mentoring

TS/SCI clearance

Education

Bachelor's degree

Master’s degree

Cloud certification (AWS/Azure/CKA)

Tools

Docker

Kubernetes

Job description

Join Booz Allen Hamilton to design, deploy, and operationalize high-performance AI systems for government and commercial clients. You’ll architect scalable networks and data pipelines, integrate LLMs with legacy architectures, and collaborate with data scientists and engineers to ensure security and reliability across diverse environments.

Lead a forward-thinking technical team, establish MLOps practices, and drive innovation while balancing architectural rigor to empower clients to make