AI Ecosystem & Intelligence Platform Architect
Core
Design and build multi-model AI architectures leveraging Large Language Models (LLMs) for enterprise-scale applications, orchestrating complex workflows and agentic systems.
Role type
Senior AI Platform Architect
Builds
Scalable AI platforms, multi-agent orchestration systems, and knowledge fabric systems integrating enterprise data.
Domain
Enterprise AI, Large Language Models (LLMs), Agentic Systems
Deliverable
production ML models | infrastructure
Required skills
Multi-model AI architecture design, LLM orchestration, Model Context Protocol (MCP) implementation, agentic system design, vector database integration, RAG architecture, cloud infrastructure optimization, AI governance frameworks
Preferred skills
Knowledge fabric system development, cross-functional collaboration, distributed cloud environment optimization
Technologies
Large Language Models (LLMs), Model Context Protocol (MCP), Vector databases, Retrieval-Augmented Generation (RAG), distributed cloud environments
Responsibilities
Design and build multi-model AI architectures leveraging LLMs for enterprise applications, orchestrate complex AI workflows across multiple models, develop and maintain knowledge fabric systems integrating enterprise data stores, implement Model Context Protocol (MCP) standards and build tool ecosystems for AI agents, design and deploy agentic systems with multi-agent orchestration capabilities, establish and enforce governance frameworks for AI systems including monitoring and compliance, integrate Vector databases and implement RAG architectures, optimize system performance and scalability across distributed cloud environments
Seniority
Senior, hands-on IC
