AI Solutions Architect / Lead Developer

HoneyComb Softwares Pvt. Ltd.; Gandhinagar; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

HoneyComb Softwares Pvt. Ltd. in Gandhinagar seeks an AI Solutions Architect / Lead Developer to design and deliver enterprise AI solutions. You will architect complex AI systems, implement RAG-based workflows, and build AI agents integrated with Microsoft Copilot, Azure OpenAI, and Power Platform.

The role requires hands-on development in Python, API integration, and data analytics, with the ability to drive projects from concept through deployment while collaborating with stakeholders.

Qualifications

• Hands-on design and build of enterprise AI solutions.
• Experience with Azure OpenAI, Copilot Studio, and Power Platform.
• Strong data analytics, API integration, and automation skills.

Responsibilities

• Architect and develop enterprise AI solutions and agents.
• Design RAG-based applications and AI workflows.
• Integrate AI with enterprise data sources and apps.
• Mentor junior developers and lead technical discussions.

Skills

AI Architect

Lead Developer

Automation

Data Analytics

Stakeholder Communication

Education

Bachelor's degree in CS/EE

Tools

Azure OpenAI

Copilot Studio

Power Platform

REST APIs

Python

Job description

Job Location: Gandhinagar

We are seeking a highly skilled AI Solutions Architect / Lead Developer who can both architect and build enterprise-grade AI solutions. This is a hands‑on role requiring deep technical expertise in Generative AI, Microsoft AI technologies, application development, automation, and data analytics.

The ideal candidate will have experience designing and implementing AI‑powered applications, intelligent agents, workflow automation solutions, and business productivity tools leveraging Azure OpenAI, Copilot technologies, and Microsoft Power Platform. The candidate should be capable of independently taking solutions from concept to deployment.

Key Responsibilities:

AI Solution Architecture & Development

• Design, develop, and deploy enterprise AI solutions using Azure OpenAI and OpenAI APIs.
• Architect and implement Retrieval Augmented Generation (RAG) solutions.
• Build AI agents and multi-agent workflows for business use cases.
• Develop prompt engineering frameworks and reusable AI components.
• Design secure, scalable, and production-ready AI applications.
• Integrate LLMs with enterprise data sources and business applications.
• Implement monitoring, evaluation, and optimization strategies for AI solutions.

Microsoft AI & Copilot Ecosystem

• Build custom solutions using Microsoft Copilot Studio.
• Develop Copilot extensions, plugins, and custom actions.
• Leverage Azure AI Foundry for AI application development and deployment.
• Integrate AI solutions with Microsoft 365, SharePoint, Teams, and Dynamics environments.
• Utilize Microsoft Graph APIs to connect enterprise systems and data.

Application Development

• Develop backend services using Python.
• Design and consume REST APIs.
• Build AI-powered web applications and automation tools.
• Develop integrations using JSON-based APIs and cloud services.
• Create lightweight front-end interfaces using JavaScript where required.

Automation & Productivity Solutions

• Develop Excel-based AI tools and add‑ins.
• Automate business workflows using Power Automate.
• Build low-code applications using Power Apps.
• Create Office Scripts and Excel automation solutions.
• Design end-to-end automation workflows for finance, operations, and compliance functions.

Data Engineering & Analytics

• Build data processing pipelines using Python and Pandas.
• Design and maintain data models and database schemas.
• Develop dashboards and insights using Power BI.
• Perform structured and unstructured data analysis.
• Optimize solutions for performance, scalability, and usability.

Required Technical Skills:

AI & Generative AI

Must have hands‑on experience with:

• Azure OpenAI Services, OpenAI APIs, Microsoft Copilot Studio, Azure AI Foundry, Prompt Engineering, Retrieval Augmented Generation (RAG), AI Agent Development, LLM Application Development, Vector Databases and Semantic Search, AI Governance and Responsible AI practices

Programming & Development

• Advanced Python development, SQL and database querying, REST API development and integration, JSON data structures and API payload design, JavaScript (Basic to Intermediate), Git Version Control, Object‑Oriented Programming principles

Microsoft Ecosystem

• Excel Automation, Office Scripts, Power Automate, Power Apps, Microsoft Graph API, Microsoft 365 Integrations, Copilot Extensibility, SharePoint Online Integrations

Data & Analytics

• Pandas, Power BI, Data Modelling, Database Design, Data Transformation, Business Intelligence Reporting

Required Experience:

• 4-8 years of software development, automation, or solution architecture experience.
• Minimum 2+ years of hands‑on experience in Generative AI solution development.
• Experience deploying AI solutions in Azure environments.
• Experience integrating enterprise systems using APIs.
• Proven experience developing automation and productivity solutions within the Microsoft ecosystem.
• Experience working with structured and unstructured business data.

Preferred Experience:

Experience building solutions such as:

• Excel add‑ins integrated with Azure OpenAI
• AI‑powered financial analysis tools
• Valuation modelling assistants built using Python and LLMs
• Financial statement extraction and processing tools
• Automated report review and summarization agents
• Contract review and compliance agents
• Knowledge management and enterprise search solutions
• Copilot‑based business productivity assistants
• Workflow automation solutions powered by AI agents

Soft Skills:

• Strong solution architecture mindset
• Ability to translate business problems into AI-powered solutions
• Excellent stakeholder communication skills
• Strong analytical and problem‑solving abilities
• Self-driven and capable of independently delivering projects
• Ability to mentor junior developers and lead technical discussions

Success Criteria:

The successful candidate should be able to:

• Independently design and build production‑ready AI solutions.
• Develop and deploy RAG-based applications and AI agents.
• Create Microsoft Copilot, Power Platform, and Azure AI solutions.
• Deliver end-to-end solutions from architecture through deployment.
• Build practical business applications that generate measurable productivity and efficiency gains.

Ideal Profile: A hands‑on AI engineer who combines the capabilities of a Solution Architect, AI Developer, Automation Specialist, and Microsoft Platform Expert, with the ability to build real‑world business solutions rather than only designing them.