AI Ecosystem & Intelligence Platform Architect

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