Multi Discipline Specialist(AI Engineer)

Job Classification

Requisition IDs: 142696 & 142697

Closing date: 25 November 2025

Job Family

Career Stream

IT Technical Specialists

Leadership Pipeline

Manage Self

Job Purpose

To provide guidance and advice related to the integration of solutions across technologies; ensuing all outputs are in compliance with current governance and legislation and provide IT leadership based on IT and business acumen.

Job Responsibilities

The incumbent will build support and evolve intelligent systems that drive business improvement automation and workflow efficiency.
Design develop and operationalize AI-powered solutions that optimize the end-to-end fraud lifecyclefrom fraud detection through prevention to management and resolution.
Consult and provide advice on the use of the multiple technologies. Address the needs of the bank by deploying supporting and configuring multiple technologies.
Stay abreast of developments in field of expertise ensuring personal and professional growth.
Understand and embrace the Nedbank vision and values leading by example.
Ensure alignment with emerging technologies and impact on Nedbank technologies and legislative requirements.
Become a trusted consultant by providing trustworthy information and acknowledge if advice cannot be provided.
Break down components of end to end design and defined logical units of work.
Raise unallocated or missing components of design with project lead. Validate the individual design components and integrate these into end to end design.
Ensure test strategy covers full end to end design.
Provide integration solutions and validate the technical component design.
Review and approve component designs.
Consult on the resolution of high impact problem solving across.
Build end to end design and release to stakeholders.
Ensure alignment to IT strategy to architecture roadmaps.
Lead end to end design on project.
Ensure awareness of Group Technology initiatives and standards. Support the achievement of the business strategy objectives and values.
Enable skilling and required corrective action to take place by sharing knowledge and industry trends with team.
Obtain buy-in for developing new and/or enhanced processes to improve stakeholders businesses.

Essential Qualifications - NQF Level

Preferred Qualification

• Advance Diplomas/Bachelors degree

Essential Certifications

Preferred Certifications

• Emerging Technology- AI and Cloud (Azure) certifications

Minimum Experience Level

• 10- 15 years experience in an IT environment across infrastructures of which at least 2 years in a senior role from feeder areas

Technical / Professional Knowledge

Technical/Professional Knowledge continued

Core AI & Data Skills
Machine Learning (ML) model development and deployment.
Natural Language Processing (NLP) email and document parsing.
AI Builder / Copilot Studio Power Platform AI tools.
Data Engineering ETL pipelines cleansing and enrichment.
Prompt engineering and LLM Operations- especially for building fine-tuning and deploying LLM-powered solutions.
Model Evaluation Observability & Responsible AI- experience with model monitoring drift detection explainability and responsible AI practices (bias detection fairness transparency).

Integration & Automation
Power Automate / Power Apps workflow orchestration.
RESTful APIs
Azure Functions / Logic Apps serverless automation.
Kafka/Elastic/Queue skills

Backend & Cloud
Cloud Platforms Azure (preferred) AWS.
Dataverse / D365 data modelling and integration.
Java / .NET backend development.

Additional recommended skills
SQL / NoSQL data querying and storage.
CI/CD Pipelines DevOps practices.
Security & Compliance data governance access control and auditability.
Containerization Docker/Kubernetes.

Behavioural Competencies