Senior Manager - AI Infrastructure Architect
Senior Manager - AI Infrastructure Architect
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1 Vacancy
Job Description
Senior Manager - AI Infrastructure Architect
Location: Johannesburg (Work From Office)
Type: 6 Month Contract
Salary: 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:
Bachelors 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.
Required Experience:
Senior Manager
Employment Type
Contract
