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 strong 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.
- Strong 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)
🏢 Talentmatics
📍 Bengaluru