AI Developer (Azure)

SUMMARY:
Psybergate is an IT company that builds bespoke software solutions and provides highly skilled resources to its clients.

We are looking for an AI Developer (Azure) to join our financial services client based in Sandton on a hybrid contract role.

POSITION INFO:

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:

• Bachelor’s 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 equivalent