Job Description
**Key Responsibilities** Design and build multi-model AI architectures that leverage Large Language Models (LLMs) for enterprise-scale applications Orchestrate complex AI workflows across multiple models, ensuring seamless integration and optimal performance Develop and maintain knowledge fabric systems and integrate enterprise data stores with AI platforms Implement Model Context Protocol (MCP) standards and build comprehensive tool ecosystems for AI agents Design and deploy agentic systems with Multi-agent orchestration capabilities for autonomous task execution Ensure platform reliability, determinism, and cost optimization across all AI infrastructure components Establish and enforce governance frameworks for AI systems, including monitoring, compliance, and quality assurance Integrate Vector databases and implement Retrieval-Augmented Generation (RAG) architectures for enhanced AI capabilities Collaborate with cross-functional teams to translate business requirements into scalable AI solutions Optimize system performance and scalability across distributed cloud environments B.E / M.E, B,Tech / M.Tech 8 to 12 Years
