Azure AI Engineer

About the Role

Azure AI Engineer

This role involves designing production-ready AI applications, optimizing machine learning workflows, and providing support for AI-powered enterprise solutions across various business domains.

Key Responsibilities

AI Solution Development

Design and develop AI-powered applications using Microsoft Azure AI Services.

Build and deploy Generative AI solutions using Azure OpenAI Service.

Develop Retrieval-Augmented Generation (RAG) applications using Azure AI Studio and Prompt Flow.

Create intelligent document processing solutions using Azure AI Document Intelligence.

Develop conversational AI applications with Azure AI Language Services.

Implement Question Answering, Text Classification, and Conversational Language Understanding solutions.

Machine Learning & MLOps

Design, train, deploy, and monitor machine learning models using Azure Machine Learning.

Manage Azure ML Workspaces, datasets, experiments, notebooks, and model lifecycle.

Build and optimize ML pipelines for scalable model deployment.

Perform data preparation, feature engineering, and model optimization.

AI Operations & Support

Monitor AI applications using Azure Monitor, Application Insights, and Log Analytics.

Troubleshoot production issues and perform root cause analysis.

Ensure secure, scalable, and reliable AI deployments in enterprise environments.

Collaborate with cross-functional teams to deliver innovative AI solutions.

Required Skills

Azure AI Services

• Azure OpenAI Service
• Azure AI Studio
• Prompt Flow
• Retrieval-Augmented Generation (RAG)
• Azure AI Language
• Azure AI Speech
• Azure AI Document Intelligence
• Azure AI Vision / Computer Vision
• Azure AI Search

Azure Machine Learning

• Azure ML Workspace Management
• Model Training & Deployment
• Model Versioning & Lifecycle Management
• Experiment Tracking & Notebooks
• ML Pipelines
• Data Preparation & Feature Engineering
• Model Optimization

AI & Machine Learning

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Natural Language Processing (NLP)
• Computer Vision
• Speech AI
• Conversational AI
• Knowledge Mining
• Question Answering
• Text Classification

Programming & Development

• Python
• REST APIs
• JSON
• Git
• Azure DevOps
• Jupyter Notebooks

Monitoring & Operations

• Azure Monitor
• Application Insights
• Log Analytics
• Production Support & Troubleshooting

Preferred Qualifications

Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related discipline.

Microsoft Azure Certifications (Preferred):

• AI-900: Azure AI Fundamentals
• AI-102: Azure AI Engineer Associate
• DP-100: Azure Data Scientist Associate
• AZ-204: Azure Developer Associate
• AZ-305: Azure Solutions Architect Expert

Ideal Candidate Profile

4+ years of experience in Azure AI and Machine Learning.

Hands-on experience building enterprise-grade AI applications.

Strong expertise in Azure OpenAI, Azure AI Studio, RAG, and LLM-based solutions.

Experience working in production support and customer-facing environments.

Strong analytical, troubleshooting, and problem-solving skills.

Excellent communication and stakeholder management abilities.

Knowledge of Responsible AI, model governance, and AI security best practices.

Self-driven professional capable of working independently in a fast-paced environment.