Azure AI Engineer

Role & responsibilities

Role Summary

We are seeking a highly skilled Azure AI Engineer to design, develop, and deploy AI-powered solutions leveraging Microsoft's Azure AI ecosystem. The ideal candidate will have hands-on experience with Generative AI, Large Language Models (LLMs), Azure OpenAI, Azure AI Services, Machine Learning, and cloud-native application development.

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions on Microsoft Azure.
• Build enterprise AI applications using Azure OpenAI Service and Large Language Models (LLMs).
• Develop Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and vector databases.
• Integrate AI capabilities into business applications through APIs and microservices.
• Fine-tune prompts and optimize AI model performance for enterprise use cases.
• Design and implement scalable, secure, and cost-efficient AI architectures.
• Collaborate with business stakeholders to identify AI opportunities and convert them into production-ready solutions.
• Monitor, troubleshoot, and improve AI applications for accuracy, performance, and governance.
• Ensure AI solutions comply with security, privacy, and responsible AI guidelines.
• Create technical documentation, architecture diagrams, and deployment guides.

Required Technical Skills

Azure AI & Generative AI

• Azure OpenAI Service
• GPT Models (GPT-4/4o or equivalent)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Azure AI Search
• Azure AI Foundry / Azure AI Studio
• Azure Cognitive Services
• Azure Document Intelligence (Form Recognizer)

Machine Learning & Data Science

• Azure Machine Learning
• Model training, deployment, and monitoring
• Feature Engineering
• Model Evaluation and Optimization

Programming

• Python (Mandatory)
• REST APIs
• LangChain or Semantic Kernel
• SQL

Azure Cloud

• Azure Functions
• Azure App Services
• Azure Storage
• Azure Key Vault
• Azure Kubernetes Service (AKS)
• Azure API Management

Preferred Skills

• Experience with Copilot implementations.
• Knowledge of Vector Databases (Azure AI Search, Pinecone, ChromaDB, FAISS).
• Experience with Agentic AI frameworks.
• Experience in chatbot and virtual assistant development.
• Exposure to Databricks and Azure Data Engineering ecosystem.
• Knowledge of Responsible AI and AI Governance frameworks.

Preferred candidate profile