Agentic AI Architect | GenAI | Multi-Agent Systems | RAG | Azure OpenA

Role & responsibilities

• Design and implement Agentic AI and Multi-Agent Systems for enterprise use cases.
• Architect LLM, Generative AI, and RAG solutions using Azure OpenAI, OpenAI, Claude, Gemini, and open-source models.
• Integrate AI agents with ERP, CRM, ITSM, APIs, and enterprise platforms.
• Develop autonomous workflows with orchestration frameworks such as LangGraph, Semantic Kernel, and Azure AI Foundry.
• Establish AI governance, security, compliance, monitoring, and human-in-the-loop controls.
• Design scalable cloud-native AI architectures on Azure/AWS/GCP.
• Collaborate with business and technology stakeholders to drive AI transformation initiatives.
• Mentor engineering teams and provide technical leadership for enterprise AI programs.

Preferred candidate profile

• 10 -12 years of experience in AI/ML Architecture or Solution Architecture
• Hands-on experience in Agentic AI, Multi-Agent Systems, and Generative AI
• Strong expertise in LLMs, RAG, Vector Databases, and Knowledge Graphs
• Experience with Azure OpenAI, LangGraph, Semantic Kernel, OpenAI Agents SDK, or Azure AI Foundry
• Proficiency in Python, Cloud Platforms (Azure/AWS/GCP), Kubernetes, and Docker
• Experience integrating AI solutions with ERP, CRM, ITSM, APIs, and Enterprise Systems
• Strong stakeholder management and enterprise architecture experience.