About the position
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
Desired Skills:
- Azure
- AKS
- fabric
- data lake
- AI
- machine learning
- .net
Desired Qualification Level:
About The Employer: