Job 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.

Requirements

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.