Enterprise AI Solutions Architect - Hybrid (Centurion)

Placements24; Centurion; Hybrid; ZAR 1,200,000 - 2,300,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Retirement plan

Professional development and certs

Travel opportunities

Job summary

Placements24 is seeking an experienced AI Solutions Architect for Centurion, Gauteng. The role combines remote flexibility with on-site collaboration in Centurion to deliver enterprise AI architectures.

The ideal candidate will translate client challenges into scalable AI/ML solutions, leveraging cloud services (AWS/Azure/GCP) and cutting-edge techniques, while leading technical teams and ensuring secure, cost-effective outcomes.

Qualifications

• Bachelor's or Master's degree in a technical field.
• Extensive experience designing AI/ML solutions for enterprises.
• Strong knowledge of AI/ML models, algorithms, and techniques.
• Experience with cloud-based AI/ML services (AWS/Azure/GCP).
• Excellent communication and stakeholder-management skills.

Responsibilities

• Design end-to-end AI solutions tailored to enterprise client needs.
• Evaluate AI/ML technologies and platforms for proposed solutions.
• Develop architectural blueprints, specs, and integration strategies.
• Collaborate with stakeholders and technical teams for implementation.
• Provide technical leadership across the project lifecycle.
• Assess client infrastructures and AI integration strategies.
• Ensure solutions are scalable, secure, and cost-effective.
• Stay updated on emerging AI trends and best practices.
• Develop proofs-of-concept and prototypes to demonstrate value.

Skills

Analytical thinking

Problem solving

Communication skills

Technical articulation

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

AWS

Azure

GCP

Job description

Placements24 is seeking an experienced AI Solutions Architect for Centurion, Gauteng. The role combines remote flexibility with on-site collaboration in Centurion to deliver enterprise AI architectures.

The ideal candidate will translate client challenges into scalable AI/ML solutions, leveraging cloud services (AWS/Azure/GCP) and cutting-edge techniques, while leading technical teams and ensuring secure, cost-effective outcomes.