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AI Infrastructure Engineer

Job

TechNix LLC

Remote

Full-Time

Posted 2 days ago (Updated 7 hours ago) • Actively hiring

Expires 6/29/2026

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Job Description

Position:
AI Infrastructure Engineer Duration:
6months (with Extension)
Location:
Washington (Hybrid) Position Summary The AI Infrastructure Engineer designs and manages the computing, storage, networking, and cloud environments required to support enterprise AI workloads. This role provisions GPU-enabled infrastructure, establishes secure landing zones, implements hybrid architectures, and supports MLOps, observability, and model governance. Key Responsibilities Architect AI-optimized infrastructure for on-premises, cloud, and edge deployments. Deploy GPU and accelerator platforms with high-performance storage and networking. Build secure cloud landing zones in Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Corporation Cloud. Configure identity, RBAC, encryption, backup, disaster recovery, and monitoring. Implement Kubernetes, Docker, and scalable inference environments. Establish MLOps capabilities including model registry, CI/CD, monitoring, and drift detection. Integrate observability with SIEM and IT operations tools. Optimize performance, utilization, and cost across departments. Ensure compliance with FedRAMP, CJIS, HIPAA, and NIST Cybersecurity Framework. Provide infrastructure operations, incident response, and SLA management. Required Qualifications Bachelor s degree in Computer Science, Engineering, or related field. 7+ years in infrastructure engineering, cloud architecture, or DevOps. Hands-on experience with GPUs, Kubernetes, Docker, Terraform, and cloud services. Expertise in cybersecurity, IAM, networking, and disaster recovery. Experience supporting AI/ML platforms and high-performance computing environments.