Cloud AI Solutions Architect & Automation Leader

Placements24; Durban; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Competitive compensation

Remote collaboration options

Exposure to AI projects

Continuous learning & certifications

Durban-based role

Job summary

WhatJobs Direct seeks an experienced AI Solutions Architect to design and implement cutting-edge AI systems with a strong focus on cloud and automation. Based in Durban, this role emphasizes scalable, secure, and cost-efficient architectures for diverse client needs.

You will lead end-to-end AI/ML initiatives, collaborate with stakeholders, and guide development teams through POCs and production deployments, staying ahead of trends in AI, cloud, and automation.

Qualifications

• 5+ years of experience designing and implementing complex IT solutions with AI/ML and cloud architecture.
• Strong knowledge of machine learning algorithms, data science principles, and MLOps methodologies.
• Experience with containerization and orchestration using Docker and Kubernetes.

Responsibilities

• Design end-to-end AI and ML solutions leveraging cloud platforms (AWS, Azure, GCP).
• Develop architectural blueprints and designs for AI-driven applications ensuring scalability, security, and performance.
• Architect and implement automation strategies for AI/ML workflows (data ingestion, model training, deployment, monitoring).
• Collaborate with clients and stakeholders to translate business requirements into technical solutions.
• Evaluate AI/ML technologies, frameworks, and tools and provide leadership to development teams.

Skills

Python

Java

Scala

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

WhatJobs Direct seeks an experienced AI Solutions Architect to design and implement cutting-edge AI systems with a strong focus on cloud and automation. Based in Durban, this role emphasizes scalable, secure, and cost-efficient architectures for diverse client needs.

You will lead end-to-end AI/ML initiatives, collaborate with stakeholders, and guide development teams through POCs and production deployments, staying ahead of trends in AI, cloud, and automation.