AI Engineer - Azure

AI Engineer - Azure - Datonomy Solutions | BeBee Back AI Engineer - Azure

Technology

Datonomy Solutions Sandton , South Africa 2 weeks ago Until 2026/04/30

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Job 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 Learning

Azure AI Search

Lead the end-to-end delivery of AI systems from proof-of-concept to production.

Architect scalable, secure AI platforms aligned to enterprise and regulatory requirements.

2. Generative AI & RAG Systems Build and optimise Retrieval-Augmented Generation (RAG) pipelines.

Engineer prompt frameworks, orchestration layers, and evaluation processes.

Improve response quality, latency, security, and cost efficiency.

3. Cloud Engineering & Integration Develop secure APIs and event-driven integrations using:

Azure API Management

Event Hub / messaging services

Containerise and deploy AI workloads to:

AKS, Azure Functions, and App Services.

Implement Infrastructure as Code (Bicep, ARM, or Terraform).

4. MLOps, Reliability & Observability Build CI/CD pipelines for AI and ML workloads.

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Job Details

• Country : Afrique du Sud

• Contract Type : Permanent Contract

• Compensation : salary 9,484

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