AI Developer (Azure)

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 equivalent