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Metro Bangalore and mid-level experience increase competition, but niche Azure AI specialization reduces candidate pool.
Deep Azure AI and Power Platform specialization creates strong domain bias, limiting cross-industry portability.
Explicit 5–7 years plus many mandatory Azure AI and Power Platform technology requirements imply high filtering.
Lead development and deployment of AI-powered solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Document Intelligence, and Logic Apps.
Collaborate with business users, technical teams, and solution architects to align AI implementations with business goals and technical standards.
Analyze business requirements to design intelligent automation, document processing, enterprise search, and conversational AI applications, and estimate effort for new AI use cases and integrations.
5–7 years of IT application development experience focused on Azure AI services, integration technologies, and enterprise solutions.
Bachelor’s or Master’s degree in Computer Science, Information Technology, Information Systems, or related field.
Strong hands-on experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Document Intelligence, and Logic Apps.
Experience integrating Azure AI services with enterprise applications, REST APIs, databases, and Microsoft ecosystem services.
Experienced in multiple enterprise or mid-sized projects involving AI/ML-driven business solutions, workflow automation, or document intelligence use cases.
Skilled in requirement gathering, technical design, scope of work, and development approach documentation for AI solutions.
Proficient understanding of prompt engineering, AI response optimization, JSON, REST APIs, and enterprise-grade integration patterns.