Urwah Admin

Dautom

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 The AI Infrastructure Engineer is a platform specialist responsible for architecting, building, and operating high-performance AI infrastructure to support advanced AI workloads, including LLMs, GenAI, Computer Vision, and MLOps. This role will focus on managing GPU clusters (NVIDIA A100/H100), deploying and maintaining Red Hat OpenShift AI (RHODS), and ensuring secure, scalable, and cost-efficient AI platforms across SDD&rsquo;s Sovereign Cloud and hybrid/multi-cloud environments. The engineer will enable enterprise-grade AI adoption for 200+ government entities.
 
 
 
 
 
 Key Responsibilities &amp; Deliverables
 
 
 
 
 
 GPU &amp; AI Platform Architecture
 
 
 Design and implement GPU-based compute clusters. Define reference architectures for LLM hosting, Vector Databases, MLOps, and high-performance storage/networking.
 
 
 Fully operational GPU-based AI infrastructure. GPU Cluster Uptime and Performance Utilization. Reduction in Cost per Training/Inference Workload.
 
 
 GPU Cluster Operations
 
 
 Install, configure, and optimize core components: CUDA, cuDNN, NCCL, NVIDIA Drivers, and GPU Operators. Implement GPU partitioning, scheduling, and performance tuning for high-end GPUs (e.g., A100/H100).
 
 
 High-availability architecture for all AI workloads. Complete documentation and runbooks.
 
 
 OpenShift AI (RHODS) Management
 
 
 Deploy, configure, and maintain the Red Hat OpenShift AI (RHODS) platform for multi-tenant use. Manage the integration of NVIDIA GPU Operator for efficient GPU scheduling and support Data Scientists with Notebooks, Training, and Inference Endpoints.
 
 
 Production-ready OpenShift AI (RHODS) platform. AI Project Onboarding Speed.
 
 
 LLM &amp; Model Serving
 
 
 Build and manage infrastructure for hosting and serving open-source LLM frameworks (Llama, Falcon, Mistral) and supporting RAG pipelines, LoRA adapters, and Vector Databases (Milvus, pgvector).
 
 
 Multi-model LLM serving environment for entities. MLOps Pipeline Success Rate and Deployment Frequency.
 
 
 MLOps &amp; Automation
 
 
 Implement IaC (Terraform, Ansible) and GitOps for the automated lifecycle management of the AI platform (node onboarding, scaling, model rollout/rollback). Build robust MLOps pipelines for data prep, training, evaluation, and monitoring (using tools like MLflow/Kubeflow).
 
 
 Infrastructure automation via Terraform &amp; Ansible. Automation Coverage for AI Infrastructure.
 
 
 
 
 
 Required Qualifications &amp; Experience
 
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 Experience: 7&ndash;12 years in Cloud Infrastructure, DevOps, ML Infrastructure, or Platform Engineering.
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 Deep Hands-On Expertise:
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 GPU Systems (NVIDIA A100/H100), Linux, Containers, and Kubernetes.
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 OpenShift AI (RHODS) or equivalent Kubernetes GPU orchestration.
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 LLM Hosting (Llama, Mistral, Falcon, etc.) and supporting Vector Databases/RAG systems.
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 Strong Experience In: TensorFlow, PyTorch, Hugging Face, Distributed Training (DDP, Deep Speed), and ML Ops Stacks (ML flow, Kubeflow).
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 Essential Skills &amp; Competencies
 
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 Technical: Deep understanding of GPU compute, HPC architectures, and ML performance profiling. Strong skills in IaC (Terraform/Ansible), CI/CD, and OpenShift/Kubernetes operators.
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 Soft Skills: Strong troubleshooting, optimization, and performance engineering mindset. Excellent cross-functional collaboration and documentation skills.
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 Preferred Certifications
 
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 NVIDIA Deep Learning / AI Infrastructure Certification
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 Red Hat OpenShift AI specialization
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 Kubernetes CKA/CKAD
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 Azure AI or Oracle Cloud AI certifications
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 Terraform &amp; Ansible certifications
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AI Infrastructure Engineer

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 Presales Consultant - Riyadh location
 
 
 Permanent role - Riyadh KSA (Transferrable Iqama)
 
 
 
 
 
 
 
 
 Educatio
 
 
 nBachelor&rsquo;s in Computer Science / IT / Engineering (Master&rsquo;s in Public Sector or Digital Transformation is a plus)
 
 
 .Key Skills &amp; Competencies (Common
 
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 )Proven presales experience in bid management and client-facing presentations/workshops
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 .Strong solutioning and analytical thinking; ability to translate business needs into technical solutions
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 .Experience with estimation/effort sizing and commercial inputs, with strong attention to quality and detail
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 .Strong communication and stakeholder management skills; ability to collaborate across presales, delivery, finance, and partners
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 .Excellent command of English; Arabic capability as per role requirements
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 .Certifications (nice to have): TOGAF, ITIL, PMP, AWS/Azure foundations
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 .Government/compliance exposure is strongly preferred
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Presales Consultant

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AI Infrastructure Engineer

Presales Consultant