Lead Engineer: AI

- Design, develop, test, deploy, and maintain AI-enabled solutions that support fraud and forensic operations.

- Translate operational problems into practical technical solutions using software engineering, automation, and AI tools where appropriate.

- Build and support solutions such as document extraction, workflow automation, case support tools, search and retrieval tools, summarisation, classification, and human-in-the-loop decision support.

- Design and implement solutions primarily within Nedbank’s current Microsoft and Azure-based platforms, services, and integration patterns.

- Integrate AI-enabled solutions with internal systems, databases, APIs, case management tools, workflow platforms, and reporting environments.

- Implement controls within solutions, including validation, exception handling, approval steps, audit trails, logging, monitoring, and escalation paths.

- Work with structured and unstructured data, including text, documents, images, audio, and other operational data sources where relevant.

- Ensure solutions are supportable and production-ready through sound engineering practice, including testing, version control, documentation, performance monitoring, and operational support readiness.

- Work closely with fraud, forensic, operations, technology, data, and risk stakeholders to identify use cases, prioritise opportunities, and deliver measurable business value.

- Job Responsibilities Continued

- Evaluate tools and approaches pragmatically, with emphasis on usefulness, cost-effectiveness, maintainability, governance, and fit for Nedbank’s environment.

- Support compliance with internal standards relating to data protection, information security, governance, responsible use of AI, and operational risk.

- Matric / Grade 12 / National Senior Certificate.

- Relevant practical experience in software engineering, automation, AI implementation, or a related technical field.

- A relevant diploma or degree in Computer Science, Information Systems, Engineering, Data Science, or a similar field would be advantageous, but is not essential where equivalent practical ability can be demonstrated.

- Relevant certifications in software development, cloud platforms, automation, or AI would be advantageous.

- Demonstrable experience building working technical solutions rather than only producing concepts, research, or analysis.

- Hands-on software development experience in Python essential, C# highly advantageous.

- Experience integrating systems through APIs, working with databases, and automating business processes.

- Experience taking solutions from prototype stage into reliable operational use.

- Experience working with structured and unstructured data.

- Experience implementing controls such as logging, exception handling, validation, approval steps, and monitoring.

- Experience working with business stakeholders to understand requirements and translate them into usable technical solutions.

- Experience working in an enterprise technology environment.