AI DevOps Engineer: LLM Deployments & Cloud Automation

Tarjama; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading technology firm in Riyadh is seeking a DevOps Engineer to oversee deployment, scalability, and security of AI systems. This critical role involves building CI/CD pipelines, optimizing infrastructure, and ensuring compliance with data governance standards. The ideal candidate will have at least 5 years of relevant experience and proven expertise in deploying AI workloads. Strong skills in Docker, Kubernetes, and cloud services are essential, alongside a commitment to security best practices.

Qualifications

• Minimum 5 years of hands-on DevOps engineering experience in production environments.
• Proven experience deploying and operating AI systems and LLM‑based workloads.
• Strong understanding of networking, security, and cloud-native architecture principles.

Responsibilities

• Design, build, and maintain CI/CD pipelines for AI models and software applications.
• Deploy and scale AI systems and LLM APIs in production environments.
• Monitor infrastructure performance and optimize for reliability and cost efficiency.

Skills

DevOps engineering experience

Deployment and operation of AI systems

Hands-on expertise with Docker

Experience with Kubernetes

CI/CD platforms knowledge

Cloud services proficiency

Monitoring and observability

Infrastructure-as-code tools

Troubleshooting capabilities

Job description

A leading technology firm in Riyadh is seeking a DevOps Engineer to oversee deployment, scalability, and security of AI systems. This critical role involves building CI/CD pipelines, optimizing infrastructure, and ensuring compliance with data governance standards. The ideal candidate will have at least 5 years of relevant experience and proven expertise in deploying AI workloads. Strong skills in Docker, Kubernetes, and cloud services are essential, alongside a commitment to security best practices.