AI & Data Solutions Architect

Sabenza IT & Recruitment; Johannesburg; On-site; ZAR 800 000 - 1 000 000; Full time

Job summary

A leading IT recruitment company in Johannesburg seeks a Senior AI & Data Solutions Architect passionate about designing AI solutions for real-world business impact. The role involves architecting enterprise-scale AI and data platforms across Azure, AWS, and GCP, focusing on Generative AI technologies. Candidates should have advanced proficiency in Python and hands-on experience with LLM applications and MLOps pipelines. Joining offers the chance to influence AI strategy in a dynamic environment.

Qualifications

• Strong understanding of AI/ML architectures.
• Proficient in Python programming.
• Hands-on experience with LLM-based applications.
• Experience with MLOps in cloud.
• Exposure to GPU-based workloads.

Responsibilities

• Architect end-to-end AI solutions.
• Design scalable AI platforms on cloud services.
• Develop and deploy AI/ML models.
• Integrate AI with cloud-native services.
• Ensure ethical use of AI in implementations.
• Collaborate with cross-functional teams.

Skills

AI/ML concepts and solution architectures

Advanced Python proficiency

GenAI, LLM-based applications, and prompt engineering

MLOps pipelines and model lifecycle management

NVIDIA H200 / GPU-based AI workloads

Telecom environments

Azure

AWS

GCP

Cloud-based data storage and processing platforms

Tools

Kubernetes

Docker

Java

Ruby on Rails

Job description

Johannesburg, South Africa | Posted on 15/01/2026

Build the future of AI at enterprise scale

Are you passionate about Generative AI, large-scale data platforms, and cloud-native architecture ? Do you want to design AI solutions that move beyond experimentation and into real-world, business-critical impact?

We are looking for a senior AI & Data Solutions Architect to lead the design and delivery of next-generation AI, GenAI, and data-driven platforms within a complex enterprise environment. This role sits at the intersection of AI innovation, cloud architecture, and business transformation , with exposure to telecom environments and cutting-edge GPU-powered AI workloads .

What You’ll Be Doing

• Architect and deliver end-to-end AI and GenAI solutions aligned to strategic business objectives
• Design scalable AI and data platforms across Azure, AWS, and/or GCP
• Build and refine LLM-based applications , including advanced prompt engineering
• Develop, train, deploy, and operate AI/ML models using modern MLOps practices
• Integrate AI solutions with cloud-native AI services , LLM platforms, and enterprise systems
• Leverage platforms such as Azure Machine Learning for model lifecycle management
• Design and support GPU-powered AI workloads , including NVIDIA H-series architectures
• Ensure ethical, responsible, and compliant AI across all implementations
• Stay ahead of the curve on Generative AI, LLMs, and AI infrastructure trends
• Collaborate closely with business leaders, data engineers, IT teams, and external partners

What We’re Looking For

Must-Have Skills & Experience

• Strong understanding of AI/ML concepts and solution architectures
• Advanced Python proficiency
• Hands-on experience with GenAI, LLM-based applications, and prompt engineering
• Solid understanding of MLOps pipelines and model lifecycle management
• Exposure to NVIDIA H200 / GPU-based AI workloads
• Experience working within or alongside telecom environments
• Deep, hands-on experience with Azure, AWS, and/or GCP
• Strong knowledge of cloud-based data storage and processing platforms

Nice-to-Have (Bonus)

• Kubernetes and Docker
• Java and/or Ruby on Rails
• Experience managing large-scale, GPU-intensive AI platforms

Screening Questions

• Describe your experience designing and deploying GenAI or LLM-based solutions.
• What is your hands-on experience with MLOps pipelines in a cloud environment?
• Which cloud platforms (Azure/AWS/GCP) have you architected AI solutions on, and at what scale?
• Have you worked with GPU-based AI workloads (e.g., NVIDIA H-series)? Please explain.
• What exposure do you have to telecom data or systems, if any?

Why Join?

Architect enterprise-scale AI solutions , not just proofs of concept

Work with cutting-edge GenAI and GPU technology

Influence strategy, architecture, and standards across a large organisation

Collaborate with senior stakeholders on high-impact AI transformation initiatives

Be part of a team shaping the future of AI adoption in telecom and enterprise environments