- Guide the dev team on Azure and GenAI components.

- Design and develop GenAI solution in Azure platform

- Design production-grade AI solutions such as intelligent document processing, automated content generation, enterprise search assistants, and multi-agent decision-support systems

- Implement RAG, prompt engineering, fine-tuning, and orchestration techniques to build accurate and reliable AI systems

- Integrate agentic components into enterprise applications with monitoring, observability, human-in-the-loop flows, and feedback loops

- Review code and maintain technical quality across the team.

- Unblock devs when they face technical issues or defects.

- Work with all teams integrated with Data Agent and understand how each connection works.

- Help shape the integration workflow, discuss options, and finalize the approach.

- Strong hands-on experience in Azure services used in the project.

- Good understanding of GenAI-related components.

- Ability to review code and guide developers.

- Solid experience with system integrations and workflows.

- Strong problem-solving mindset.

Minimum Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or a related field

- Proven experience working with Microsoft Azure solutions

- Experience designing and implementing cloud solutions and enterprise web applications

- Strong understanding of cloud native architecture principles, networking, security, and database concepts

- Excellent communication and collaboration skills

- Ability to work in a dynamic environment and handle multiple projects

- Development and deployment of GenAI Solution [Mandatory]

Preferred Qualifications :

- Hands-on experience with GenAI frameworks (LangChain, LangGraph, AutoGen, crewAI, OpenAI Agent SDK)

- Proficiency in Python for AI/ML development

- Experience designing and implementing cloud solutions and enterprise web applications

- Strong understanding of cloud native architecture principles, networking, security, and database concepts

- Experience in the consulting industry, technical leadership, or sales support

- In-depth experience architecting complex Azure public/private cloud platform solutions (PaaS, SaaS, IaaS)

- Experience with modern architecture techniques (e.g., event-driven architectures, stream processing, event sourcing/CQRS)

- Familiarity with containerization and PaaS tools (e.g., Kubernetes, Docker Enterprise, Azure Stack)

- Experience with Infrastructure as Code (IaC) and automation tools

- Strong client management and professional presence

- 8+ years of experience as an Azure Cloud Solutions Architect

- Good to have Azure certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert)