Senior Manager - AI Infrastructure Architect

Believe Resourcing; Johannesburg; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

A leading company in telecommunications seeks a Senior Manager for AI Infrastructure Architecture. This strategic role involves designing enterprise-grade AI systems and overseeing implementation across cloud and hybrid infrastructures. Join a forward-thinking team to drive innovation in AI and digital transformation.

Benefits

Work on cutting-edge AI infrastructure

Join a forward-thinking team

Exposure to strategic projects

Qualifications

• 8+ years in IT Infrastructure, Cloud Computing, or AI Systems Architecture.
• Extensive experience designing and scaling AI infrastructure for enterprise environments.
• Proficiency in Kubernetes, containerisation, and orchestration tools.

Responsibilities

• Develop and architect scalable AI infrastructure strategy.
• Oversee implementation of infrastructure for AI model training and deployment.
• Establish security SOPs and compliance measures for AI systems.

Skills

AI Infrastructure & Cloud Architecture

AI Model Deployment & MLOps

Kubernetes & Workload Orchestration

Cloud Platforms (AWS, Azure, GCP)

Infrastructure as Code (Terraform, Ansible)

AI Security & Compliance

AI Cost Optimisation Strategies

Performance Tuning for AI Workloads

Education

Bachelor’s Degree in Computer Science, IT Infrastructure Engineering, or related field

Certifications in AWS, Azure, GCP, MLOps, or DevOps

Job description

Senior Manager - AI Infrastructure ArchitectLocation: Johannesburg (Work From Office)Type: 6 Month ContractSalary: Competitive

About the Company

Our client is a leading multinational in the telecommunications and digital services sector, widely recognised for driving innovation through advanced technologies. With a strong focus on AI, cloud computing, and digital transformation, the organisation is committed to delivering cutting-edge solutions that empower businesses and enhance customer experiences. Operating across multiple markets, the company fosters a high-performance culture where visionary leaders and top-tier professionals collaborate to shape the future of tech-driven enterprises.

About the Role

Our client, a major player in the technology-driven space, is seeking a Senior Manager: AI Infrastructure Architecture to lead the design and implementation of enterprise-grade AI infrastructure. This is a highly strategic and technical role focused on building scalable, secure, and efficient AI environments across cloud and hybrid systems.

Key Responsibilities

• Develop a scalable AI infrastructure strategy aligned with enterprise-wide digital transformation goals.

• Architect infrastructure solutions across cloud and on-prem environments, optimising for performance, flexibility, and security.

• Implement and oversee infrastructure for AI model training, inferencing, and execution frameworks.

• Design infrastructure that supports enterprise-wide AI adoption with scalability, availability, and future-readiness.

• Establish security SOPs, access controls, and compliance measures for AI systems.

• Implement MLOps pipelines to streamline model deployment, monitoring, retraining, and governance.

• Automate infrastructure provisioning using Terraform, Ansible, or equivalent IaC tools.

• Optimise GPU/CPU utilisation in high-performance computing environments.

• Manage AI workload orchestration using Kubernetes and containerisation technologies.

• Improve data pipelines and engineering strategies for enhanced real-time AI analytics.

• Collaborate with IT and Software teams to ensure seamless AI integration with enterprise systems.

• Drive cost optimisation strategies to balance performance and budget efficiency.

• Deploy real-time infrastructure monitoring for performance tracking and issue detection.

• Establish AI model version control and governance policies for compliance and risk mitigation.

• Keep abreast of emerging AI infrastructure innovations and cloud technologies.

Skills and Experience

Education:

• Bachelor’s Degree in Computer Science, IT Infrastructure Engineering, or related field.

• Certifications in AWS, Azure, GCP, MLOps, or DevOps (preferred).

Experience:

• 8+ years in IT Infrastructure, Cloud Computing, or AI Systems Architecture.

• Extensive experience designing and scaling AI infrastructure for enterprise environments.

• Proficiency in Kubernetes, containerisation, and orchestration tools.

• Deep understanding of AI workload management in cloud and hybrid environments.

• Proven track record in performance and cost optimisation for AI systems.

Technical Skills:

• AI Infrastructure & Cloud Architecture

• AI Model Deployment & MLOps

• Kubernetes & Workload Orchestration

• Cloud Platforms (AWS, Azure, GCP)

• Infrastructure as Code (Terraform, Ansible)

• AI Security & Compliance

• AI Cost Optimisation Strategies

• Performance Tuning for AI Workloads

Why Apply?

• Work on cutting-edge AI infrastructure that drives enterprise innovation.

• Join a forward-thinking team pushing the boundaries of digital transformation.

• Gain exposure to strategic projects at the intersection of AI and infrastructure architecture.