Job Description

6 Months Contract

Role Purpose

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. 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. 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. 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. Experience with Microsoft Fabric and Databricks on Azure. Domain experience in financial services. Azure AI Engineer Associate certification or equivalent.

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.

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.