Junior AI Infrastructure Engineer

Accenture; Abu Dhabi; On-site; AED 150,000 - 210,000; Full time

Job summary

Accenture in the United Arab Emirates is seeking a hands-on Infrastructure Architect at an early-career level. You will learn by doing, building AI and ML infrastructure that powers real-world applications, under mentorship from senior engineers.

You will write code, configure cloud and on‑prem resources, deploy AI models, monitor systems, and contribute to InfraOps and MLOps practices. The role emphasizes practical skills across Docker, Kubernetes, CI/CD, and scalable, secure infrastructure.

Qualifications

• Proven experience with AI/ML or Computer engineering or Computer science.
• Experience in coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.
• Strong understanding of AI and machine learning as a subject.
• Strong understanding of computing infrastructure, preferred knowledge of AI infrastructure.
• Proficiency in programming languages such as ML, Python, Java, or C++.

Responsibilities

• Write, test, and debug code and scripts for AI infrastructure tasks under guidance of senior engineers.
• Develop and maintain infrastructure and software deployment scripts to support reliable releases of AI systems and models.
• Configure and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups.
• Deploy AI systems and ML models into production infrastructure, following established processes and best practices.
• Deploy data pipelines that feed AI and ML workflows, ensuring data is available, clean, and reliable.
• Assist with container orchestration and model serving, learning tools such as Docker, Kubernetes, and model deployment frameworks.
• Support and maintain CI/CD pipelines for automating the build, test, and deployment of AI infrastructure and applications.
• Monitor AI systems and infrastructure health across InfraOps and MLOps disciplines, tracking performance, reliability, and resource utilization.
• Perform AI monitoring to track model performance, detect drift or degradation, and surface issues for review.
• Troubleshoot and help resolve issues across the computational stack - hardware, networking, software, and models - with mentorship and support.
• Document configurations, processes, and procedures to maintain clear, repeatable, and shareable knowledge across the team.
• Collaborate with senior architects and engineers, participating in code reviews, team discussions, and knowledge-sharing sessions to grow technical skills.
• Apply security, cost-efficiency, and scalability best practices as you learn them, contributing to well-managed and responsible infrastructure.

Skills

AI/ML concepts

Python/Java/C++

Problem solving

Education

Bachelor's Degree in Computer Science/Engineering

Tools

Docker

Kubernetes

CI/CD tooling

Job description

Accenture in the United Arab Emirates is seeking a hands-on Infrastructure Architect at an early-career level. You will learn by doing, building AI and ML infrastructure that powers real-world applications, under mentorship from senior engineers.

You will write code, configure cloud and on‑prem resources, deploy AI models, monitor systems, and contribute to InfraOps and MLOps practices. The role emphasizes practical skills across Docker, Kubernetes, CI/CD, and scalable, secure infrastructure.