On-Site AI Solutions Architect - Cloud & ML Leadership

Placements24; Centurion; On-site; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive remuneration package

Health insurance

Retirement contributions

Paid time off

Professional development support

On-site Centurion work environment

Job summary

Placements24 in Centurion, Gauteng, is seeking an innovative AI Solutions Architect to design scalable, secure AI/ML solutions on cloud platforms. This hands-on role requires deep cloud, ML lifecycle, and MLOps expertise.

You will work with clients and stakeholders to translate business challenges into technical AI strategies, provide leadership to development teams, and define roadmaps for transformative projects.

Qualifications

• 5+ years of experience in solution architecture with cloud AI/ML focus.
• Production deployment of ML models on major cloud providers.
• Hands-on with AI/ML services (SageMaker, Azure ML, Vertex AI).
• Experience with Docker/Kubernetes and serverless computing.
• Cloud certifications are desirable.
• Excellent analytical, problem‑solving and communication skills.
• Translate business requirements into technical solutions.

Responsibilities

• Design end-to-end AI/ML solutions on cloud platforms (AWS/Azure/GCP).
• Collaborate with stakeholders to identify AI/ML opportunities and define requirements.
• Develop blueprints and roadmaps for scalable AI initiatives with security in mind.
• Provide technical leadership to development teams throughout projects.
• Evaluate AI/ML technologies, tools and frameworks for suitability.
• Define data strategies for ML ingestion, processing, and storage.
• Ensure CI/CD, monitoring and model governance per MLOps best practices.

Skills

Analytical thinking

Communication

Problem solving

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

Docker

Kubernetes

SageMaker

Azure ML

Vertex AI

Job description

Placements24 in Centurion, Gauteng, is seeking an innovative AI Solutions Architect to design scalable, secure AI/ML solutions on cloud platforms. This hands-on role requires deep cloud, ML lifecycle, and MLOps expertise.

You will work with clients and stakeholders to translate business challenges into technical AI strategies, provide leadership to development teams, and define roadmaps for transformative projects.