Description:
We are seeking a senior, hands-on Azure AI Engineer to design, build, and operate production-grade AI and Generative AI systems.
This is not a research or modelling-only role.
This person will be responsible for engineering and deploying AI solutions end-to-end on Microsoft Azure - from data ingestion and system architecture through to secure APIs, model deployment, monitoring, and optimisation.
The successful candidate will act as a technical owner of AI solutions, working closely with data teams, cloud engineers, and business stakeholders to deliver enterprise-scale, compliant, and reliable AI platforms.
Key Outcomes of the Role
Design and deliver production AI and GenAI systems on Azure
Build and own RAG-based solutions and LLM-powered applications
Establish deployment, monitoring, and MLOps standards
Integrate AI solutions securely into Nedbank's enterprise environment
Improve performance, reliability, cost control, and observability of AI workloads
Produce clear architecture documentation, runbooks, and best practices
Core Responsibilities
1. AI Solution Architecture & Delivery
Design and implement AI solutions using:
Azure OpenAI
Azure AI Studio / Azure Machine L