AI Infrastructure Solutions Architect
Confidential Amman - Jordan Date Posted: 2026/10/11 Login to ApplyResponsibilities
- Lead the design of end-to-end AI infrastructure architectures, including GPU data centers, high-performance computing (HPC) clusters, and AI compute environments.
- Design high-performance networking solutions, GPU interconnects, and scalable infrastructure supporting demanding AI workloads.
- Assess data center capacity, power, cooling, cabling, and physical infrastructure requirements to ensure scalability, performance, and reliability.
- Design cloud, private-cloud, on-premises, and hybrid infrastructure architectures for enterprise AI workloads.
- Define infrastructure requirements for large language models (LLMs), model serving, Retrieval-Augmented Generation (RAG), AI agents, and data-intensive applications.
- Establish containerized deployment architectures using Docker, Kubernetes, and other relevant orchestration technologies.
- Oversee DevOps and MLOps architecture, including CI/CD pipelines, infrastructure as code, automated deployments, and production monitoring.
- Define production-readiness standards covering system reliability, scalability, performance optimization, disaster recovery, and incident management.
- Establish infrastructure security standards covering identity and access management, network segmentation, encryption, data protection, and workload isolation.
- Ensure infrastructure architectures comply with enterprise security, data residency, privacy, and regulatory requirements.
- Collaborate with AI, software, data, cloud, and infrastructure engineering teams to translate application requirements into secure, scalable, and production-ready solutions.
- Provide technical architecture leadership, guide engineering teams, and oversee infrastructure implementation across multiple business units and technical environments.
- Lead technical discovery sessions, architecture workshops, and solution feasibility assessments with enterprise, government, data center, and technology customers.
- Develop technical proposals, reference architectures, bills of materials, RFP/RFQ responses, and proof-of-concept designs.
- Support business development activities by translating customer requirements into commercially viable AI infrastructure and platform solutions.
- Build and maintain technical relationships with hardware manufacturers, cloud providers, hyperscalers, and technology partners.
- Evaluate emerging technologies in GPU infrastructure, AI networking, cloud-native platforms, and AI deployment systems to identify new business opportunities.
- Develop reusable architecture frameworks, deployment standards, and technical documentation to support consistent delivery across different client environments.
Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Network Engineering, or a related technical field.
- Significant experience in infrastructure architecture, data center solutions, cloud architecture, or enterprise technology environments.
- Strong understanding of AI/GPU workloads, high-performance computing, compute infrastructure, storage, and high-speed networking.
- Experience designing and overseeing production cloud, private-cloud, on-premises, or hybrid infrastructure environments.
- Working knowledge of Docker, Kubernetes, infrastructure as code, CI/CD, DevOps, and production observability.
- Understanding of production AI infrastructure, including LLM inference, model serving, RAG, AI agents, and MLOps environments.
- Knowledge of enterprise security architecture, identity management, network security, disaster recovery, and data residency requirements.
- Experience translating business and technical requirements into scalable, secure, and commercially viable architecture solutions.
- Strong technical leadership skills, with the ability to guide cross-functional engineering teams and oversee complex infrastructure initiatives.
- Previous experience in customer-facing solution architecture, technical consulting, presales, or enterprise technology engagements.
- Excellent communication, stakeholder management, analytical, and problem-solving skills.
- Ability to balance technical requirements, infrastructure costs, performance, scalability, and business objectives.
Preferred Qualifications
- Experience designing AI data centers, GPU clusters, or HPC infrastructure.
- Familiarity with NVIDIA GPU platforms, InfiniBand, high-speed Ethernet, and large-scale AI compute deployments.
- Experience supporting production LLM inference, AI model serving, or enterprise AI platform deployments.
- Knowledge of major infrastructure and technology providers, including NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Arista, and leading cloud platforms.
- Experience developing reusable infrastructure architectures and multi-client deployment frameworks.
- Relevant certifications in cloud architecture, Kubernetes, NVIDIA technologies, data center infrastructure, or enterprise networking.
Required Skills
- CI/CD
- Cloud Architecture
- DevOps
- Infrastructure
- Azure Cloud Services
Job Details
- Location Amman - Jordan
- Industry Information & Communication Technologies
- Job Type Full-Time
- Degree Bachelor
- Experience 8-12+
- Nationality Unspecified
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