Azure AI Engineer

Madison-Davis; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Madison-Davis, LLC is seeking an Azure AI Engineer to design and deliver production-grade AI services across enterprise data, integrating Python applications with Azure data and ML platforms. You will own architecture, implementation, deployment, and ongoing operations of AI workloads in a professional-services setting.

The role focuses on building Azure-based LLMs, RAG solutions, and scalable retrieval pipelines using Databricks, LangChain, and governance practices, with cross-team

Qualifications

• Proven production Azure LLM application and RAG delivery.
• Strong Python software engineering.
• Azure AI Foundry and Azure Machine Learning/ML Studio experience.
• Azure Databricks and data-engineering experience.
• AKS or comparable Kubernetes deployment experience.
• LangChain, LangGraph, or DSPy experience.
• SQL, REST API integration, and Git.
• Azure Purview or comparable governance experience.
• Structured and unstructured data processing and production application support.
• Independent execution, cross-team collaboration, and Eastern Time availability.

Responsibilities

• Build and deploy Azure-based LLM applications and RAG solutions.
• Develop Python services and connect enterprise APIs, databases, and documents.
• Build AI capabilities using Azure and Databricks.
• Prepare structured and unstructured information for retrieval workflows.
• Deploy and maintain workloads using Azure Machine Learning and Kubernetes.
• Improve retrieval quality, evaluation, reliability, and scalability.
• Strengthen deployment automation, monitoring, security, and governance.
• Collaborate with data and platform teams on enterprise AI architecture.

Skills

Azure LLM

Python development

Azure ML/ML Studio

Azure Databricks

Kubernetes (AKS)

LangChain / LangGraph / DSPy

REST API integration

SQL

Git

Governance & security

Tools

Azure Databricks

AKS / Kubernetes

Git

REST API tooling

Azure Purview

Job description

A professional-services organization is hiring an Azure AI Engineer to develop the infrastructure and services supporting enterprise AI applications. The work includes knowledge assistants, intelligent search, and automation that help employees use organizational information more effectively. You will combine Python development, enterprise data integration, and Azure deployment to deliver reliable production applications. The role offers hands-on ownership across architecture, implementation, deployment, and operational support.

RESPONSIBILITIES

• Build and deploy Azure-based LLM applications and RAG solutions.
• Develop Python services and connect enterprise APIs, databases, and documents.
• Build AI capabilities using Azure and Databricks.
• Prepare structured and unstructured information for retrieval workflows.
• Deploy and maintain workloads using Azure Machine Learning and Kubernetes.
• Improve retrieval quality, evaluation, reliability, and scalability.
• Strengthen deployment automation, monitoring, security, and governance.
• Collaborate with data and platform teams on enterprise AI architecture.

Role Requirements

• Proven production Azure LLM application and RAG delivery.
• Strong Python software engineering.
• Azure AI Foundry and Azure Machine Learning/ML Studio experience.
• Azure Databricks and Azure data-engineering experience.
• AKS or comparable Kubernetes deployment experience.
• LangChain, LangGraph, or DSPy experience.
• SQL, REST API integration, and Git.
• Azure Purview or comparable governance experience.
• Structured and unstructured data processing and production application support.
• Independent execution, cross-team collaboration, and Eastern Time availability.

PREFERRED EXPERIENCE

• Enterprise assistants, chatbots, or intelligent-search platforms.
• Large-document processing and retrieval optimization.
• Prompt versioning and evaluation.
• Jinja2.
• AI access controls, Kubernetes optimization, or MLOps/CI/CD automation.
• Professional-services or legal-research technology experience.