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.

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 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.
  

• DevOps/MLOps: Azure DevOps or GitHub Actions, MLflow integration, telemetry dashboards.
  

• Languages: Python (required), plus C#/.NET or TypeScript/Node; LangChain or Semantic Kernel preferred.
  

Required 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 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.
  

Qualifications

Degree in Computer Science/Engineering/Math or equivalent industry experience

Matric exemption