AI Solutions Architect - Cloud Integration

Placements24; Vereeniging; Hybrid; ZAR 900,000 - 1,500,000; Full time

Job summary

Placements24 in Vereeniging, Gauteng, is seeking a forward‑thinking AI Solutions Architect to design and implement innovative AI solutions integrated with cloud platforms. You will architect scalable, secure AI systems that leverage cloud services to meet complex business requirements and guide the company’s AI adoption.

This hybrid role combines on-site collaboration at the Vereeniging office with remote work.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in designing and implementing complex IT solutions with AI/ML and cloud technologies.
• Proven experience with cloud providers (AWS, Azure, GCP) and their AI/ML services (SageMaker, Azure ML, Vertex AI).
• In-depth knowledge of various AI/ML algorithms and their practical applications.
• Experience with data architecture, data engineering, and MLOps principles.
• Excellent understanding of microservices, containers (Docker, Kubernetes), and CI/CD pipelines.

Responsibilities

• Design and architect end-to-end AI/ML solutions leveraging cloud platforms (AWS, Azure, GCP).
• Translate business needs into technical requirements and propose suitable AI and cloud-based solutions.
• Lead the technical design and implementation of AI services, including models, data pipelines, and AI-powered apps.
• Collaborate with engineering, data science, and operations to deploy and integrate AI solutions.
• Provide technical leadership on AI best practices, security, and scalability.
• Evaluate and recommend new AI technologies and cloud services to enhance capabilities.
• Develop proofs-of-concepts and prototypes to demonstrate feasibility.
• Create architectural documentation and present solutions to stakeholders.

Skills

AI/ML design

Cloud platforms

CI/CD practices

Communication

Analytical thinking

Education

Bachelor's/Master's in CS or Engineering

Tools

Docker

Kubernetes

AWS SageMaker

Azure ML

Vertex AI

Job description

About the Role

Our client is seeking a forward-thinking AI Solutions Architect to design and implement innovative AI solutions integrated with cloud platforms. Based in Vereeniging, Gauteng, you will be responsible for architecting scalable, secure, and efficient AI systems that leverage cloud services to meet complex business requirements. This role demands a deep understanding of AI/ML technologies, cloud infrastructure, and strategic thinking to guide the company's AI adoption. This is a prime opportunity to shape the technological landscape from our Vereeniging offices.

Key Responsibilities

• Design and architect end-to-end AI/ML solutions leveraging cloud platforms (AWS, Azure, GCP).
• Translate business needs into technical requirements and propose suitable AI and cloud-based solutions.
• Lead the technical design and implementation of AI services, including machine learning models, data pipelines, and AI-powered applications.
• Collaborate with engineering, data science, and operations teams to ensure successful deployment and integration of AI solutions.
• Provide technical leadership and guidance on AI best practices, security, and scalability.
• Evaluate and recommend new AI technologies and cloud services to enhance our capabilities.
• Develop proof-of-concepts and prototypes to demonstrate the feasibility of proposed AI solutions.
• Create comprehensive architectural documentation and present solutions to technical and executive stakeholders.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in designing and implementing complex IT solutions, with a strong focus on AI/ML and cloud technologies.
• Proven experience with major cloud providers (AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• In-depth knowledge of various AI/ML algorithms and their practical applications.
• Experience with data architecture, data engineering, and MLOps principles.
• Excellent understanding of microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Strong analytical, problem-solving, and communication skills.
• Ability to articulate complex technical concepts to both technical and non-technical audiences in Vereeniging.

Benefits

• Our client offers a competitive salary, performance bonuses, and a comprehensive benefits package including health insurance, retirement savings, and opportunities for continuous learning.
• This Hybrid role allows for flexibility, combining on-site collaboration at our Vereeniging office with remote work.
• We provide a stimulating work environment with access to cutting-edge AI and cloud technologies.
• Benefits include ample paid time off, wellness programs, and support for professional certifications.