Cape Town: Senior AI Architect / Product Manager posted by Sabenza IT & Recruitment

• Design and optimise AI architectures for complex, enterprise-scale systems, ensuring seamless integration with existing solutions.
  
• Define technical standards and select suitable AI tools, frameworks, and cloud platforms (e.g., Azure AI, AWS, Google Cloud).
  
• Lead AI product strategy and roadmaps, translating business needs into scalable, user-focused solutions.
  
• Manage full AI product lifecyclesfrom ideation to deploymentwhile coordinating with stakeholders and prioritising deliverables.
  
• Research and pilot emerging AI technologies to drive innovation and continuous improvement.
  
• Collaborate across teams to deliver integrated AI solutions and promote best practices, ethics, and knowledge sharing.
  
• Develop and execute enterprise AI strategies, identifying opportunities for adoption, efficiency gains, and digital transformation.

Requirements

Minimum Requirements

• Minimum Qualification: NQF Level 6 or higher tertiary qualification in Information and Communication Technology (ICT), Information Systems, Computer Science, or a related field.
  
• Cloud Certification (Azure, AWS, or Google Cloud preferred)
  
• AI/ML-related certifications (e.g., TensorFlow Developer, AWS Certified Machine  
  
• Learning, etc.)
  
• Minimum years 6 experience in a similar role as an AI Architect, AI Product Manager, or related AI leadership position.
  
• Proven experience designing and deploying large-scale AI solutions.
  
• Demonstrated experience in developing and managing AI product lifecycles.
  
• Experience working with cross-functional technical and business teams.
  
• Strong understanding of machine learning, deep learning, NLP, and data science concepts.
  
• Proficiency in AI frameworks (TensorFlow, PyTorch, Scikit-learn) and data processing tools.
  
• Expertise in cloud-based AI services and architectures.
  
• Familiarity with MLOps, data governance, and model lifecycle management.
  
• Strong system design, integration, and API management skills.
  
• Experience working with cross-functional technical and business teams.
  
• Strong understanding of machine learning, deep learning, NLP, and data science concepts.
  
• Proficiency in AI frameworks (TensorFlow, PyTorch, Scikit-learn) and data processing tools.
  
• Expertise in cloud-based AI services and architectures.
  
• Familiarity with MLOps, data governance, and model lifecycle management.
  
• Strong system design, integration, and API management skills.