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AI Development Specialist - Azure

Job in Johannesburg North, Johannesburg, 2000, South Africa
Listing for: ARCS
Full Time position
Listed on 2026-07-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Azure, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Johannesburg North

Our esteemed client in Sandton is urgently looking for an AI DEVELOPMENT SPECIALIST (Azure) / CONTRACTING POSITION
Rate per hour highly negotiable

Lead the design, build, and deployment of production-grade AI solutions on Microsoft Azure. Own end-to-end delivery—from data pipelines to model deployment, ensuring security, reliability, and compliance.

Required Experience:
  • Degree in Computer Science/Engineering/Math or equivalent industry experience.
  • 7+ years in software/ML engineering, with 3+ years delivering production AI solutions on Azure.
  • Proven track record of shipped solutions with architecture diagrams and runbooks.
  • Expertise in RAG system design, prompt engineering, and performance optimization.
  • Strong data engineering skills and secure integration patterns.
  • Applied knowledge of Responsible AI principles and compliance requirements.
Core Tech Stack:
  • Azure AI & ML:
    Azure OpenAI Service, AI Studio, AI Search, Azure Machine Learning.
  • Data & Integration:
    Data Lake Storage, Synapse/Fabric, Data Factory, Event Hub, API Management.
  • Compute & Hosting: AKS, Azure Functions, App Service;
    IaC with Bicep/ARM/Terraform.
  • Dev Ops/MLOps:
    Azure Dev Ops or Git Hub Actions, MLflow integration, telemetry dashboards.
  • Languages:
    Python (required), plus C#/.NET or Type Script/Node;
    Lang Chain or Semantic Kernel preferred.
Responsibilities:
  • Design and implement AI solutions using Azure AI services (OpenAI, AI Search, Machine Learning).
  • Develop secure APIs and integrate with enterprise systems using Azure API Management and Event Hub.
  • Containerize workloads and deploy to AKS, App Service, or Functions with CI/CD pipelines.
  • Ensure observability, performance tuning, and cost optimization for AI workloads.
  • Collaborate with cross-functional teams and document architecture, runbooks, and best practices.
Core Competencies:
  • Outcome-oriented with strong problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Collaborative leadership and mentoring capability.
  • Adaptability to ambiguity and incremental delivery approaches.
Nice to have:
  • Experience with Microsoft Fabric and Databricks on Azure.
  • Domain experience in financial services.
  • Azure AI Engineer Associate certification or equivalent.
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