Job Title: Infrastructure & AI Systems Manager at GSSTech Group

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Architecture, Containerization, AI System Integration, AI Model Integration, AI Agent Development, Infrastructure Management, Docker, Kubernetes, Responsible AI Practices, Cloud Operations, Data Engineering, DevOps, CI/CD, Automation, Problem-Solving, Communication

Industry

IT Services and IT Consulting

Description

We are seeking an experienced Infrastructure & AI Systems Manager to lead the design, deployment, and optimization of advanced AI-driven infrastructure solutions. The ideal candidate will have deep expertise in cloud architecture, containerization, and AI system integration, with a focus on building scalable, secure, and compliant platforms. Key Responsibilities: Architect Agentic AI Solutions: Design modular systems integrating LLMs to support multi-step reasoning, retrieval-augmented generation (RAG), and tool use. AI Model Integration: Evaluate, select, and integrate suitable models (e.g., GPT-5 or custom LLMs) into scalable environments. AI Agent Development: Build and maintain intelligent agents for research, summarization, and autonomous task execution. Infrastructure & Scalability: Manage infrastructure using Docker and Kubernetes to ensure high availability, scalability, and reliability. Responsible AI Practices: Implement AI governance, including guardrails, content filters, and compliance with data protection standards. Cloud & Security Management: Oversee cloud operations (Azure, AWS) ensuring cost efficiency, performance, and compliance. Collaboration & Stakeholder Management: Work closely with cross-functional teams and customers to translate business objectives into technical AI solutions. Continuous Optimization: Analyze model performance, refine prompts, and enhance system accuracy and efficiency. Data Engineering: Design and manage data pipelines and federated data marts; ensure seamless data movement and optimization across sources. Automation & DevOps: Champion infrastructure-as-code, CI/CD pipelines, and the automation of provisioning, deployment, and monitoring. Qualifications & Experience: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 8+ years of experience in infrastructure management, cloud engineering, or AI systems architecture. Proven experience with Docker, Kubernetes, and cloud platforms (AWS, Azure). Solid understanding of AI/ML deployment, RAG systems, and LLM model operations. Familiarity with infrastructure security, identity management, and data protection compliance (UAE CB | SIA | SAMA). Strong hands-on experience with DevOps, CI/CD, and automation frameworks. Excellent problem-solving and communication skills with the ability to collaborate across teams and manage complex technical projects.

Responsibilities

The Infrastructure & AI Systems Manager will lead the design, deployment, and optimization of advanced AI-driven infrastructure solutions. Key responsibilities include architecting AI solutions, managing infrastructure, and ensuring compliance with responsible AI practices.