We are looking for 10+ years of experienced AI Architect to design and drive enterprise-scale AI, Generative AI, RAG, and Agentic AI solutions. The candidate will define target architectures, reusable AI patterns, and integration standards aligned with enterprise strategy, security, and governance.

Required Skills
10–15 years of overall IT experience with robust architecture experience.
Hands-on expertise in GenAI, LLMs, RAG, Agentic AI, and Multi-Agent systems.
Solid experience with Azure OpenAI and Azure AI Foundry.
Experience with LangChain, LangGraph, Semantic Kernel, or similar AI frameworks.
Knowledge of MCP, tool/function calling, prompt engineering, embeddings, and vector databases.
Robust understanding of AI security, governance, guardrails, and risk management.




Experience designing enterprise-scale cloud and API integration architectures.

Key Responsibilities
Define target-state and reference architecture for enterprise AI and GenAI solutions.
Design scalable RAG, AI Agent, and Multi-Agent architectures.
Establish reusable AI patterns, integration standards, and architecture roadmaps.
Architect secure integration of AI solutions with enterprise applications, APIs, and data platforms.
Drive AI CoE / Enterprise AI Platform initiatives.
Collaborate with Enterprise Architecture, business, security, risk, and engineering teams.
Ensure Responsible AI, security, governance, scalability, observability, and compliance

📌 Artificial Intelligence Engineer Bengaluru (India)
🏢 Talentmatics
📍 India