Multi - Discipline Specialist (AI Engineer)

Job Purpose

To identify opportunities within our Unit of Work and the respective systems where applicable Automation & Agentic AI  can be used to optimize our systems, improve processes and create effeciencies using AI technology. To provide guidance and advice related to the integration of solutions across technologies; ensuing all outputs are following 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 Technology & Business improvement, automation and workflow efficiency.
• Design, develop, and operationalize AI-powered solutions that optimize the end-to-end Collections and Recoveries Unit of Work.
• 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

• Emerging Technology- AI and Cloud (Azure) certifications 

Essential 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

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.

Technical / Professional Knowledge

Behavioural Competencies