





Mid-level, metro role with known employer but niche Azure/GenAI requirements limit applicant pool.
Requires specialized Azure AI, Copilot, and LLM expertise, limiting cross-industry transferability.
Explicit years plus mandatory Azure, Copilot, LLM, and MLOps expertise enforce strict filters.
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Lead design and development of AI solutions using Microsoft Azure AI services and Generative AI technologies.
Develop and implement Microsoft Copilot solutions including custom copilots and plugins, and build advanced Gen AI applications with techniques like prompt engineering and RAG.
Establish MLOps practices, integrate AI with Microsoft 365 and other enterprise apps, design scalable APIs, and mentor AI engineers.
Bachelor’s or master’s degree in Computer Science, Software Engineering, AI, ML, Data Science, or related field.
Minimum 3 years software engineering experience with at least 2 years in AI/ML architecture, development, and deployment.
Expert-level experience with Microsoft Azure AI services (Azure OpenAI, Azure AI Studio, Azure Machine Learning, Azure Cognitive Services) and Generative AI technologies in production.
Role is office based in Hyderabad, India.
Experienced in architecting enterprise-scale AI solutions on Microsoft Azure AI ecosystem including AI Studio, Cognitive Services, and Copilot.
Strong hands-on expertise in Gen AI development incorporating prompt engineering, fine-tuning, multi-agent systems, and RAG architectures.
Skilled in Python and/or C#, scalable API/microservices design, vector search technologies, and capable of leading AI engineering teams and defining technical strategies.