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Mid-level experience and broad, non-niche skillset increases competition despite smaller company brand.
Requires deep Generative AI and Microsoft Copilot/Azure expertise, limiting cross-industry portability.
Explicit 4-8 years, mandatory 2+ years Generative AI, and many specific Microsoft/Azure requirements.
Design, develop, and deploy enterprise-grade AI solutions including Retrieval Augmented Generation (RAG) applications and AI agents using Azure OpenAI and Microsoft Copilot technologies.
Build and integrate AI-powered automation and productivity tools within the Microsoft ecosystem including Power Platform, Microsoft 365, SharePoint, Teams, and Dynamics.
Own end-to-end AI solution delivery from concept through deployment, ensuring scalability, security, and measurable business impact in finance, operations, and compliance domains.
4-8 years of software development, automation, or solution architecture experience with minimum 2+ years in Generative AI solution development.
Hands-on experience with Azure OpenAI Services, OpenAI APIs, Microsoft Copilot Studio, Azure AI Foundry, prompt engineering, RAG, AI agent development, and LLM applications.
Proven skills in Python programming, REST API development, Microsoft Power Platform (Power Automate, Power Apps), Excel automation, and integration with Microsoft 365 ecosystem.
Work Experience Required: 4-8 years overall including 2+ years in Generative AI; Job Location: Gandhinagar; Full-Time role.
Experienced in building production-ready AI applications with practical business impact rather than theoretical designs, capable of independently delivering end-to-end AI projects.
Strong AI solution architecture mindset combined with deep expertise in Microsoft AI ecosystem and automation tools to translate complex business problems into scalable AI workflows.
Skilled in handling structured and unstructured data, integrating enterprise systems via APIs, and developing automation solutions for finance, compliance, and operations functions.