Multi – Discipline Specialist(AI Engineer) needed at Nedbank

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

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• Advance Diplomas/Bachelors degree

Essential Certifications

• Accredited where formal expert certification on technology is available JMP or MMP or equivalent

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

• Banking knowledge
• Business Acumen
• Business writing
• Principles of financial management
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge
• Risk management process and frameworks
• Cluster Specific Operational Knowledge
• Mentoring
• Information Technology concepts
• System Development Life cycle(SDLC)
• Role relevant related technologies
• Service orientated Architecture (SOA)
• IT Solutions Architecture
• IT Infrastructure Architecture
• Knowledge across multiple technologies
• IT Risk and security principes
• Usability and GUI techniques
• Multiple operating system
• Systems Analysis and design
• 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

• Earning Trust
• Communication
• Collaborating
• Decision Making
• Initiating Action
• Innovation
• Work Standards
• Technical/Professional Knowledge and Skills