• Define and evolve the architecture of Legion's multi-tenant SaaS platform. • Lead system design for highly scalable, fault-tolerant, distributed services. • Establish architectural patterns, standards, and long-term technical roadmaps. • Drive decisions around service decomposition, API strategy, and extensibility. • Architect and optimize cloud-native systems on AWS. • Design for high availability, performance, security, and cost efficiency. • Own containerization and orchestration strategy (Docker, Kubernetes) in production. • Champion observability, reliability engineering, CI/CD, and infrastructure as code. • Ensure secure enterprise-grade data protection at scale. • Lead performance tuning, scalability modeling, and database optimization. • Design APIs and integration patterns for enterprise customers and partners. • Support compliance and audit requirements common in enterprise environments. • Actively use Generative AI coding tools (GitHub Copilot, Cursor, Claude) as a standard part of your development and architectural workflow — demonstrated prior use is required. • Establish engineering-wide best practices for AI-assisted development, code review, and architectural validation. • Support the design and development of AI-native product capabilities. • Evaluate and integrate emerging AI/ML frameworks and LLM orchestration patterns (RAG, agentic workflows) into the core platform. • Drive measurable improvements in AI SDLC practices and engineering velocity through intelligent automation. • Lead design reviews and mentor senior engineers and principals. • Serve as the escalation point for complex production or architectural challenges. • Partner cross-functionally with Product, Data, QA, and DevOps. • Contribute hands-on to critical platform components, with a primary emphasis on architecture and technical direction.