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Infrastructure Architect (AI)
Описание вакансии
Текст:
TL;DR
Infrastructure Architect (AI): Designing and developing scalable, high-performance infrastructure for advanced AI platforms with an accent on cloud-hybrid architectures, high availability, and secure networking. Focus on leveraging infrastructure-as-code and autonomous AI agents to automate deployment, management, and security compliance for mission-critical AI workloads.
Location: Must be based in Abu Dhabi, United Arab Emirates
Company
Inception, a company, is a leading innovator of applied AI solutions, serving as the core intelligence layer within the ecosystem.
What you will do
- Architect secure, scalable, and highly available infrastructure specifically designed to support AI training, inference, and data processing.
- Develop hybrid cloud and on-premises solutions that meet rigorous performance and resilience requirements.
- Drive the use of automation and Infrastructure as Code (IaC) to streamline deployment and management across the ecosystem.
- Implement disaster recovery and business continuity strategies to ensure platform stability.
- Collaborate with DevOps, engineering, and security teams to optimize infrastructure efficiency and cost-effectiveness.
- Mentor the infrastructure team while evaluating emerging technologies to enhance networking, storage, and cloud-native capabilities.
Requirements
- Minimum of 12 years of experience in infrastructure architecture, cloud platforms, or systems engineering.
- Demonstrated expertise in architecting large-scale, mission-critical environments.
- Deep proficiency in cloud computing (AWS, Azure, GCP), networking protocols, and distributed storage systems for AI/ML.
- Advanced experience with containerization (Docker, Kubernetes) and IaC tools (Terraform, Ansible).
- Strong knowledge of security best practices, data privacy, and encryption within hybrid environments.
- Experience integrating AI agents for automated infrastructure management and operational excellence.
Culture & Benefits
- Opportunity to work within a leading AI-focused research and development organization.
- Engagement with cutting-edge AI technologies and large-scale autonomous infrastructure projects.
- Leadership role with mentorship responsibilities in a collaborative, cross-functional environment.
- Focus on innovation, societal impact, and advanced technological research within the ecosystem.