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Popular mid-level AI Engineer role in Hyderabad with broad requirements and metro location increases applicant competition.
Medium—core ML skills transfer across industries, but heavy Azure/Copilot and Microsoft 365 integration favors enterprise SaaS backgrounds.
High—explicit 3+ years plus mandatory Azure/Generative AI, Copilot, and enterprise deployment requirements.
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Lead design and development of enterprise AI solutions using Microsoft Azure AI services including Azure OpenAI, Azure AI Studio, Azure Machine Learning, and Cognitive Services.
Build advanced Generative AI applications and Microsoft Copilot solutions, integrating AI capabilities with Microsoft 365, SharePoint, Teams, Power Platform, and third-party applications.
Establish AI solution standards, MLOps practices, scalable API/microservices, mentor AI engineers, and lead proof-of-concept projects to drive AI innovation and business process automation.
Bachelor’s or master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or relevant experience.
3+ years of software engineering experience with at least 3+ years focused on AI/ML architecture, development, and deployment.
Expert experience with Microsoft Azure AI services and Generative AI technologies including Azure OpenAI, Azure AI Studio, Azure Machine Learning, and Azure Cognitive Services.
Office-based role located in Hyderabad, India.
Deep expertise in Generative AI development including prompt engineering, RAG, fine-tuning, and multi-agent systems.
Proven ability to architect, deploy, and maintain enterprise-scale AI solutions with strong business acumen for translating requirements into AI strategies and ROI.
Experienced in Microsoft Copilot ecosystem, API/microservices design, data pipelines for AI, and integration with Microsoft 365 ecosystem and Power Platform.