AI Solutions Architect - Cloud & Machine Learning

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

About the Role

Our client is looking for an innovative and experienced AI Solutions Architect to join their team in Centurion, Gauteng. This role is critical in designing and implementing scalable, robust, and secure AI and machine learning solutions on cloud platforms. You will work closely with clients and internal stakeholders to understand business challenges and translate them into technical AI strategies. This is a hands‑on role requiring a deep understanding of cloud infrastructure, ML lifecycle management, and various AI/ML services. If you are passionate about architecting transformative AI solutions that drive business value and have a strong background in cloud technologies and machine learning, this is the perfect opportunity for you.

Key Responsibilities

• Design and architect end‑to‑end AI/ML solutions leveraging cloud platforms (e.g., AWS, Azure, GCP).
• Collaborate with business stakeholders to identify opportunities for AI/ML adoption and define solution requirements.
• Develop technical blueprints and roadmaps for AI initiatives, ensuring scalability, reliability, and security.
• Provide technical leadership and guidance to development teams throughout the project lifecycle.
• Evaluate and recommend appropriate AI/ML technologies, tools, and frameworks.
• Define data strategies, including data ingestion, processing, and storage for ML models.
• Ensure adherence to best practices in MLOps, including CI/CD, monitoring, and model governance.
• Present architectural designs and technical proposals to diverse audiences, including technical and non‑technical stakeholders.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in solution architecture, with a significant focus on cloud-based AI/ML systems.
• Proven experience designing and deploying ML models in production environments using major cloud providers.
• Deep understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
• Hands‑on experience with AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Strong knowledge of containerization technologies (Docker, Kubernetes) and serverless computing.
• Excellent analytical, problem‑solving, and communication skills.
• Ability to translate complex business requirements into technical solutions.
• Relevant cloud certifications (e.g., AWS Certified Machine Learning – Specialty, Azure Data Scientist Associate) are highly desirable.

Benefits

• Our client offers a competitive remuneration package, including an attractive annual salary and potential performance bonuses.
• Comprehensive employee benefits include health insurance, retirement contributions, and paid time off.
• Opportunities for continuous professional development are abundant, with support for certifications and attending industry conferences.
• The work environment in Centurion is dynamic and forward‑thinking, promoting innovation.
• This role is based on‑site, offering a stable and collaborative work setting.
• We are committed to fostering a productive and engaging workplace.