AI Infrastructure Architect

Booz Allen Hamilton; Maryland; On-site; USD 112,800 - 257,000; Full time

Benefits offered by this job

Comprehensive benefits package

Professional development opportunities

Tuition assistance

Job summary

Booz Allen Hamilton seeks an AI Integration Engineer in Maryland to design and maintain the infrastructure for AI systems. Your expertise in high-performance computing and cloud services like AWS and Azure will be critical for managing AI workloads and deploying applications efficiently.

The role demands over 5 years of infrastructure experience, strong knowledge of MLOps, and familiarization with various AI/ML frameworks. A TS/SCI clearance is required for this position, ensuring compliance with security protocols.

We offer a competitive compensation range of $112,800 to $257,000 yearly.

Qualifications

• 5+ years of experience in infrastructure engineering or system integration.
• 2+ years supporting large-scale AI/ML systems.
• Experience with cloud platforms and AI services.
• Familiar with industry-standard networking and security protocols.
• Experience with NVIDIA GPU technologies.

Responsibilities

• Integrate LLMs and AI workloads across systems.
• Maintain scalable GPU computing infrastructure.
• Develop CI/CD pipelines for AI deployments.
• Ensure seamless communication between systems.
• Provide troubleshooting expertise for AI systems.

Skills

Infrastructure engineering

System integration

Cloud platforms (AWS, Azure, Google Cloud)

Networking concepts (TCP/IP, DNS, NGINX)

GPU technologies

MLOps (MLflow, Kubeflow)

Orchestration frameworks

AI/ML frameworks (PyTorch, TensorFlow)

Education

Bachelor's degree in CS, Computer Engineering, or Systems Engineering

Tools

Kubernetes

Docker

Terraform

Job description

Booz Allen Hamilton seeks an AI Integration Engineer in Maryland to design and maintain the infrastructure for AI systems. Your expertise in high-performance computing and cloud services like AWS and Azure will be critical for managing AI workloads and deploying applications efficiently.

The role demands over 5 years of infrastructure experience, strong knowledge of MLOps, and familiarization with various AI/ML frameworks. A TS/SCI clearance is required for this position, ensuring compliance with security protocols.

We offer a competitive compensation range of $112,800 to $257,000 yearly.