Specialist AI / Architect / Product Manager

Job Description

• Develop and implement AI strategies aligned with WCG’s digital transformation goals.
• Identify opportunities for AI adoption and define clear, actionable AI roadmaps.
• Design AI and machine learning models to address complex business problems.
• Select suitable algorithms, frameworks, and tools.
• Produce technical architecture diagrams and detailed design documentation.
• Collaborate with data architects to ensure data quality, availability, and governance.
• Design and oversee data pipelines for AI model training and deployment.
• Oversee the end-to-end AI model lifecycle, including development, training, testing, and validation.
• Implement best practices for AI model deployment, monitoring, and maintenance.
• Ensure seamless integration of AI systems with existing enterprise platforms.
• Design APIs and interfaces for interoperability between AI components and other business systems.
• Continuously monitor and optimise AI model performance.
• Apply techniques such as hyperparameter tuning and inference acceleration to enhance efficiency.
• Ensure AI solutions comply with data privacy, security, and ethical standards.
• Implement safeguards to protect AI systems from vulnerabilities and misuse.
• Work closely with data scientists, engineers, and business stakeholders to ensure successful AI delivery.
• Translate complex AI concepts into understandable insights for non-technical audiences.
• Stay abreast of the latest advancements in AI, ML, and cloud technologies.
• Evaluate and recommend new tools, frameworks, and methodologies for adoption.

Requirements

Requirements

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.