Sr. Azure Generative AI Engineer / Consultant

Sr. Azure Generative AI Engineer / Consultant Location: India, Remote

Work Experience: 8+ Years

• Hands-on experience in software development, cloud engineering, or AI-based solutions.
• Strong hands-on experience with the Microsoft Azure cloud platform.
• Experience building Generative AI applications using Azure OpenAI Service.
• Experience implementing RAG architectures using Azure AI Search.
• Hands-on experience with Azure App Services, APIs, and cloud-native application development.
• Strong programming experience with Python, C#, or JavaScript.
• Experience working with REST APIs, microservices, and cloud-based architectures.
• Understanding of prompt engineering, LLM integration, and AI model orchestration.
• Familiarity with Git, CI/CD pipelines, and DevOps practices.
• Experience with LangChain, Semantic Kernel, or similar LLM orchestration frameworks.
• Knowledge of vector databases and embeddings.
• Experience with Azure Functions, Azure Kubernetes Service (AKS), or containerized deployments.
• Familiarity with data pipelines and data engineering workflows.
• Azure certifications, such as Azure AI Engineer Associate or Azure Solutions Architect.

Qualifications: Bachelor s degree in computer science, Engineering, Information Systems, or related technical field (or equivalent practical experience).

• Design and develop Azure-native Generative AI applications using Azure AI services.
• Implement LLM-powered solutions leveraging Azure OpenAI Service.
• Build Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and vector-based search capabilities.
• Develop scalable backend services and APIs using Azure App Services or related Azure compute services.
• Integrate Generative AI solutions with enterprise applications and data platforms.
• Optimize AI models and prompts to improve accuracy, performance, and cost efficiency.
• Collaborate with data scientists, architects, and developers to deliver end-to-end AI-driven solutions.
• Ensure solutions follow security, governance, and compliance standards within the Azure environment.
• Monitor and maintain AI services for reliability, scalability, and performance.
• Stay up to date with the latest Generative AI and Azure AI platform advancements.