Principal Architect for AI Systems

Job Summary

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