The AI Architect / Product Manager is responsible for designing developing and implementing AI-driven solutions and managing AI-related product features throughout their lifecycle. This role bridges the gap between technical development and product strategy ensuring that AI initiatives align with business objectives while maintaining high performance scalability and efficiency.
Key Responsibilities
- Develop implement and maintain AI and machine learning models.
- Architect scalable AI systems and integrate them into existing infrastructure.
- Collaborate with data scientists and engineers to refine model design and performance.
- Manage and prioritise AI product features and enhancements.
- Translate business requirements into technical specifications for development teams.
- Oversee product roadmaps and ensure timely delivery of AI functionalities.
- Monitor the performance of AI models and systems in production.
- Identify performance bottlenecks and implement improvements.
- Ensure models are continuously trained and updated with new data.
- Support senior AI architects with research data analysis and prototyping of new AI methodologies.
- Stay current with emerging AI trends technologies and best practices.
- Document processes architecture decisions and implementation outcomes.
- Coordinate cross-functional teams (engineering product and data science).
- Communicate complex AI concepts to non-technical stakeholders.
- Contribute to strategic discussions on AI product direction and innovation
Requirements
NQF Level 6 or higher tertiary qualification in Information Communication Technology (ICT) Computer Science Information Systems or a related field.Cloud certification (e.g. AWS Azure or Google Cloud AI / ML certification) is required or preferred.Minimum of 3 years experience in a role involving AI architecture machine learning engineering or AI product management.Proven experience working with AI / ML frameworks (e.g. TensorFlow PyTorch Scikit-learn).Demonstrated ability to manage AI product lifecycles and cross-functional collaboration.Strong understanding of AI / ML concepts algorithms and deployment practices.Proficiency in Python or other relevant programming languages.Familiarity with data pipelines cloud-based AI services and MLOps principles.Excellent analytical and problem-solving skills.Required Skills :
NQF Level 6 or higher tertiary qualification in Information Communication Technology (ICT) Computer Science Information Systems or a related field. Cloud certification (e.g. AWS Azure or Google Cloud AI / ML certification) is required or preferred. Minimum of 3 years experience in a role involving AI architecture machine learning engineering or AI product management. Proven experience working with AI / ML frameworks (e.g. TensorFlow PyTorch Scikit-learn). Demonstrated ability to manage AI product lifecycles and cross-functional collaboration. Strong understanding of AI / ML concepts algorithms and deployment practices. Proficiency in Python or other relevant programming languages. Familiarity with data pipelines cloud-based AI services and MLOps principles. Excellent analytical and problem-solving skills.
Key Skills
Abinitio,CCNA,Account Development,Cost Estimation,Events Management,Financial Consulting
Employment Type : Full Time
Experience : years
Vacancy : 1