AI Solutions Architect - Cloud Platforms

Placements24; Randfontein; Vor Ort; ZAR 1.200.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Competitive remuneration

Annual leave and learning budget

Office in Rustenburg

Performance-based bonus

Zusammenfassung

Placements24 in Rustenburg, South Africa, seeks an experienced AI Solutions Architect to design and implement scalable AI/ML solutions on leading cloud platforms. You will guide technical direction, select technologies, and ensure secure, cost-efficient integrations for clients.

You’ll collaborate with clients and teams to translate complex business challenges into robust architectures, stay current with AI innovations, and lead architecture documentation and knowledge sharing across projects.

Qualifikationen

• Minimum 5+ years of experience in architecting and deploying cloud-based AI/ML solutions.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• Deep knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in Python, Java, or Scala, and strong data engineering basics.

Aufgaben

• Design and architect end-to-end AI/ML solutions on major cloud platforms (AWS, Azure, GCP).
• Provide technical leadership and guide projects through the full lifecycle.
• Evaluate and select AI/ML services and tooling for business needs.
• Develop proofs of concept and ensure scalable, secure, cost-efficient deployments.
• Create architectural documentation and diagrams for stakeholders.

Jobbeschreibung

About the Role

WhatJobs Direct is actively seeking an experienced AI Solutions Architect to join their prestigious team in Rustenburg, North West, ZA. This role is crucial for designing and implementing scalable AI and machine learning solutions on leading cloud platforms. As an AI Solutions Architect, you will work closely with clients and internal teams to understand complex business challenges and translate them into robust, innovative AI‑driven architectures. You will be responsible for guiding the technical direction, selecting appropriate technologies, and ensuring the successful integration of AI solutions into client ecosystems. This position demands a deep understanding of cloud infrastructure, AI/ML services, and the ability to communicate technical concepts effectively to both technical and non‑technical audiences. Our client is committed to leveraging the power of AI to drive business transformation, and this role is central to that mission. You will be instrumental in architecting solutions that leverage the full potential of cloud‑based AI services, ensuring performance, security, and cost‑effectiveness. The role requires a hands‑on approach and a passion for building next‑generation AI systems. Working in our Rustenburg, North West, ZA office allows for direct collaboration and team synergy.

Key Responsibilities

• Design and architect end-to-end AI and machine learning solutions on major cloud platforms (AWS, Azure, GCP).
• Collaborate with clients and stakeholders to gather requirements and define technical solutions.
• Provide technical leadership and guidance throughout the project lifecycle.
• Select appropriate AI/ML services and tools for specific business needs.
• Develop proofs of concept and prototypes to validate architectural designs.
• Ensure solutions are scalable, secure, performant, and cost‑effective.
• Create comprehensive architectural documentation, including diagrams and specifications.
• Advise clients on best practices for AI implementation and cloud adoption.
• Stay current with emerging AI technologies and cloud platform capabilities.
• Facilitate knowledge sharing and technical enablement within the team and client organizations.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Proven experience (5+ years) in architecting and deploying cloud‑based AI/ML solutions.
• Deep understanding of cloud platforms (AWS, Azure, GCP) and their respective AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data engineering, data warehousing, and big data technologies.
• Strong knowledge of machine learning algorithms, deep learning frameworks, and MLOps principles.
• Excellent communication, presentation, and interpersonal skills.
• Ability to translate complex technical concepts into business value.
• Experience with containerization technologies (Docker, Kubernetes) is a plus.
• Familiarity with various AI use cases and their implementation strategies.

Benefits

• Our client offers a competitive salary package designed to attract top talent, along with a comprehensive benefits plan including health, dental, and life insurance.
• Employees benefit from a generous annual leave policy and opportunities for continuous learning through workshops, certifications, and conference attendance.
• The office is conveniently located in Rustenburg, North West, ZA , providing a professional and collaborative work environment.
• We also offer a performance‑based bonus structure and a retirement savings plan.