Remote Principal AI Solutions Architect: Cloud & AI Infra

Placements24; Rustenburg; Hybride; ZAR 1 800 000 - 3 200 000; Plein temps

Avantages offerts par ce poste

Executive-level salary + bonus

Health, dental and vision insurance

Stock option plan

Retirement contributions

Professional development support

Flexible remote work

Résumé du poste

Placements24 is seeking a Principal AI Solutions Architect to lead cloud-based AI infrastructure for our Rustenburg operations. This remote role focuses on scalable, secure architectures that power advanced AI workloads and strategic technology initiatives.

You will guide cross‑functional teams, define best practices for model deployment and MLOps, evaluate new cloud services, and ensure regulatory compliance.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or Engineering.
• 10+ years in software architecture, cloud computing and infrastructure design.
• 5+ years in AI/ML infrastructure and architecture with major cloud providers.
• Proven ability to design scalable, secure cloud-native solutions.
• Deep understanding of AI/ML concepts and MLOps.

Responsabilités

• Design end-to-end AI solutions leveraging AWS, Azure and GCP.
• Lead strategy for AI infrastructure in scalable, secure, cost-efficient ways.
• Collaborate with data scientists and engineers to align infra needs.
• Define best practices for AI model deployment and lifecycle management.
• Evaluate new cloud services to enhance AI capabilities.
• Develop proofs-of-concept and architectural documentation.

Connaissances

AI/ML architecture

Cloud platforms

Docker

Kubernetes

Terraform

Formation

Bachelor’s or Master’s degree in CS/Engineering

Outils

Docker

Kubernetes

Terraform

CloudFormation

Description du poste

Placements24 is seeking a Principal AI Solutions Architect to lead cloud-based AI infrastructure for our Rustenburg operations. This remote role focuses on scalable, secure architectures that power advanced AI workloads and strategic technology initiatives.

You will guide cross‑functional teams, define best practices for model deployment and MLOps, evaluate new cloud services, and ensure regulatory compliance.