Description:
What you will be doing:
- Lead the design, development, 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
- Design and implement AI solutions using Azure AI services, including OpenAI, AI Search, and Azure 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
- Actively participate in the evolution of technology or domain assets while maintaining asset health
- Play a leadership role in the associated Centre of Excellence (COE) and mentor team members.
What we are looking for:
- Bachelors degree in computer science, Engineering, Mathematics, or equivalent industry experience
- 7+ years in software or ML engineering, with 3+ years delivering production AI solutions on Azure
- Proven track record of shipped AI solutions, including 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
- Proficiency in Python (required); plus C#/.NET or TypeScript/Node; familiarity with LangChain or Semantic Kernel preferred
- Experience with Azure AI & ML, Data Lake Storage, Synapse/Fabric, Data Factory, Event Hub, AKS, Azure Functions, App Service, and IaC (Bicep/ARM/Terraform)
- DevOps/MLOps experience with Azure DevOps or GitHub Actions, MLflow, and telemetry dashboards
- Outcome-oriented with strong problem-solving skills, collaborative leadership, and excellent communication abilities
- Ability to adapt 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 equivalentPlease note that if you do not hear from us within 3 weeks, consider your application unsuccessful.
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28 Jan 2026;
from:
gumtree.co.za