AI Infrastructure Engineer

We are seeking a highly experienced AI Infrastructure Engineer to architect, deploy and optimize enterprise-scale AI infrastructure solutions leveraging the Nutanix ecosystem. The ideal candidate will have deep expertise in Nutanix Cloud Infrastructure (NCI), AOS/AHV, Nutanix Kubernetes Platform (NKP), GPU-accelerated computing and hybrid cloud environments.

This role focuses on building scalable, high-performance infrastructure that supports Large Language Models (LLMs), Generative AI workloads, AI training and AI inference platforms across on-premises and cloud environments.

The selected candidate will serve as a Subject Matter Expert (SME) for Nutanix AI infrastructure and will work closely with architecture, cloud, platform, networking and security teams., + Nutanix Cloud Infrastructure (NCI)

• Nutanix AOS (Acropolis Operating System)
• Nutanix AHV (Acropolis Hypervisor)
• Nutanix Cloud Manager (NCM)
• Nutanix Flow
• Nutanix Objects and Files, AI Infrastructure Architecture

• Design and implement scalable AI infrastructure platforms using Nutanix technologies.
• Build optimized environments supporting Generative AI, LLM training and inference workloads.
• Design high-performance compute, storage and networking architectures for AI applications., * Design high-performance storage solutions using Nutanix Objects and Nutanix Files.
• Optimize storage architectures for AI/ML datasets and model repositories.
• Ensure data availability, scalability and performance.

Security & Networking

• Implement Zero-Trust security principles.
• Utilize Nutanix Flow for micro-segmentation and workload security.
• Collaborate with security and networking teams to protect sensitive AI data.

• Nutanix Kubernetes Platform (NKP)
• Kubernetes cluster deployment and administration
• Container orchestration and workload management
• AI/ML workload deployment in Kubernetes environments

GPU & AI Infrastructure

• Experience designing and managing GPU-enabled environments
• Hands-on experience with:

• NVIDIA GPU ecosystem (A100, H100, CUDA, GPU Passthrough, vGPU)
• AMD GPU ecosystem

• Experience supporting AI model training and inference workloads

Infrastructure Automation

• Terraform
• Infrastructure as Code (IaC)
• Nutanix Calm
• Automated provisioning and lifecycle management

Monitoring & Observability

• Prometheus
• Grafana
• ELK Stack
• OpenTelemetry
• Monitoring, logging, alerting and performance tuning, * Experience supporting AI/ML platforms, LLMs and Generative AI initiatives.
• Experience with AI model serving frameworks and inference platforms.
• Knowledge of MLOps, AI platform engineering and data pipelines.
• Experience working in enterprise-scale hybrid cloud environments.
• Nutanix certifications highly preferred., * 10+ years of Infrastructure, Cloud, Platform Engineering, or Architecture experience.
• Strong enterprise-level Nutanix experience.
• Experience supporting Kubernetes-based production environments.
• Experience with GPU-enabled infrastructure and AI workloads.