AI Solutions Architect / Lead Developer
Honeycomb Softwares Private Limited (company site, opens in a new tab)4–8 yrsGandhinagarOn-siteDirect career pageEst. 12–20 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.