AI Architect

Key Responsibilities

• Design and develop scalable Agentic AI and GenAI solutions using Microsoft Foundry, Azure OpenAI, LangChain, LangGraph, and multi-agent frameworks.
• Build AI agents, RAG/GraphRAG pipelines, vector database integrations, and automated workflows.
• Lead end-to-end ML/AI solution design, model development, deployment, and MLOps/LLMOps.
• Ensure security, governance, compliance, and responsible AI practices.
• Work with clients to define requirements, design architecture, and deliver PoCs, MVPs, and production-ready solutions.
• Lead technical discussions, prepare architecture documents, proposals, estimations, and project updates.

Required Skills & Experience

• 15+ years of experience in Data Engineering, AI/ML, or Solution Architecture.
• Strong expertise in Microsoft Azure, including Foundry, Azure OpenAI, Fabric, Synapse, and Copilot Studio.
• Hands-on experience with Python, PySpark, Azure ML, Databricks, and Scikit-learn.
• Strong knowledge of LLMs, RAG, vector databases, prompt engineering, and multi-agent frameworks such as Microsoft Agent Framework, AutoGen, and Semantic Kernel.
• Experience with CI/CD, MLOps/LLMOps, AI security, governance, and production deployments.
• Excellent customer-facing, communication, and technical leadership skills.

Good to Have: Microsoft Azure certifications and experience with MCP, Hugging Face, and diffusion models.