Principal Architect for AI Systems

Leading the design and delivery of AI-first, agentic systems, the remote Principal Architect for AI Systems will define architecture strategy, guide engineering teams, and drive end-to-end solutions for AI-powered platforms, requiring 12-18 years of experience in Python-based architectures and cloud-native systems. Key Responsibilities Define and drive architecture for AI/LLM-powered systems and agentic workflows Design RAG pipelines, multi-agent systems, and intelligent orchestration layers Lead cloud-native solution design across platforms like AWS, Azure, and GCP Required Qualifications 12+ years of experience in architecture or senior engineering roles Strong expertise in Python-based system design and development Hands-on experience with LLMs, RAG architectures, and AI integrations Experience building agentic systems and multi-agent architectures Strong understanding of distributed systems and microservices architecture

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