About the position
Our client is seeking an experienced AI Development Specialist (Azure) to lead the design, development, and deployment of enterprise-grade AI solutions. This role owns the full lifecycle—from data ingestion to model deployment—ensuring scalability, security, and compliance within the Microsoft Azure ecosystem.
Responsibilities
- Design, build, and deploy production-ready AI solutions using Azure AI services (Azure OpenAI, AI Search, Azure ML).
- Architect and implement secure APIs and integrations using Azure API Management, Event Hub, and enterprise systems.
- Containerize AI workloads and deploy via AKS, Azure Functions, or App Service using modern CI/CD pipelines.
- Implement observability practices including logging, monitoring, telemetry dashboards, and performance optimization.
- Conduct cost optimization and resource governance for Azure-based AI workloads.
- Collaborate across engineering, product, and data teams to deliver scalable AI features.
- Produce detailed architectural documentation, runbooks, and best-practice guidelines.
- Drive MLOps strategy and pipeline automation using Azure DevOps or GitHub Actions.
- Ensure solutions adhere to Responsible AI, security, and compliance standards.
Technical Skills
- Strong expertise in Azure AI services: Azure OpenAI, Azure AI Studio, Azure AI Search, Azure ML.
- Advanced programming experience in Python (mandatory); knowledge of C#/.NET or TypeScript/Node.
- Experience building RAG architectures, prompt engineering, and model optimisation.
- Integration experience with Data Lake, Synapse/Fabric, Data Factory, Event Hub, API Management.
- Proficiency in containerization (Docker), orchestration (AKS), and serverless computing (Functions).
- Infrastructure-as-Code: Bicep, ARM templates, Terraform.
- MLOps tooling: MLflow, Azure DevOps, GitHub Actions.
- Strong data engineering and secure integration design capabilities.
- Knowledge of Responsible AI principles and Azure governance standards.
- Familiarity with LangChain or Semantic Kernel (advantageous).
Nice-to-Have
- Experience with Microsoft Fabric and Databricks on Azure.
- Sector exposure in financial services.
- Azure AI Engineer Associate or similar certification
Qualifications
- Degree in Computer Science/Engineering/Math or equivalent industry experience.
Desired Skills:
- Artificial Intelligence
- Azure Databricks
- CI/CD
- Data Modeling
- Development
- DevOps
- Docker