Multi - Discipline Specialist(AI Engineer)

Job Classification

Requisition IDs: 142696 & 142697

Closing date:  2 February 2026

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 lifecycle—from 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 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

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.

Behavioral Competencies

Rewards and Benefits

• Competitive remuneration and incentives
• Comprehensive medical aid and provident fund
• Hybrid working environment
• Access to learning and growth opportunities
• A culture built on trust, support, and shared ownership