Cape Town AI Solutions Architect - Computer Vision Lead

Placements24; Cape Town; On-site; ZAR 1,400,000 - 2,300,000; Full time

Benefits offered by this job

Competitive salary & bonuses

Medical and dental coverage

Professional development

Job summary

Placements24 in Cape Town seeks a Lead AI Solutions Architect specialized in computer vision to design and deliver scalable AI platforms. You will shape technical strategy, mentor engineers, and drive end-to-end deployment of vision-based solutions for global markets.

You will oversee architecture decisions, collaborate with product and data science teams, and stay ahead of AI/ML trends in cloud environments.

Qualifications

• Master's or Ph.D. in Computer Science, Electrical Engineering, AI, or related field.
• 7+ years of AI/ML experience with a strong focus on computer vision.
• Proven experience architecting and delivering large-scale AI solutions.
• Deep understanding of CV algorithms (object detection, segmentation, facial recognition) and DL frameworks.

Responsibilities

• Design and architect scalable, high-performance AI solutions focusing on computer vision.
• Lead technical vision and strategy for computer vision projects aligned with business goals.
• Collaborate with stakeholders to define requirements and technical specs.
• Provide architectural guidance across the development lifecycle and ML model deployment.
• Evaluate and select AI technologies, frameworks, and tools.
• Mentor AI engineers and data scientists and foster technical excellence.

Skills

AI/ML experience

Computer vision

Deep learning

Python

C++

Cloud platforms

MLOps

Leadership & communication

Education

Master's/PhD in CS/EE/AI

Tools

TensorFlow

PyTorch

OpenCV

scikit-image

Job description

Placements24 in Cape Town seeks a Lead AI Solutions Architect specialized in computer vision to design and deliver scalable AI platforms. You will shape technical strategy, mentor engineers, and drive end-to-end deployment of vision-based solutions for global markets.

You will oversee architecture decisions, collaborate with product and data science teams, and stay ahead of AI/ML trends in cloud environments.