The Principal AI-Native Systems Engineer is accountable for the end-to-end engineering of complex software and data platforms. They combine deep systems engineering expertise with AI-native delivery practices to design, validate and deliver solutions through small, highly capable teams augmented by AI agents. Unlike traditional engineering leadership positions, this role remains deeply hands-on and directly engaged in requirements definition, architectural design, implementation oversight and customer outcomes. The role acts as the technical owner for systems from concept through to production operation. Additional Key ResponsibilitiesAI-Native Engineering Leadership Define and lead AI-native software engineering practices. Orchestrate AI agents across design, coding, testing, documentation and operational activities. Establish standards for AI-assisted software delivery. Evaluate, validate and govern AI-generated outputs. Continuously improve software engineering productivity through AI-native approaches. Requirements and Specification Engineering Work directly with business stakeholders and users to define solution outcomes. Translate business requirements into deterministic technical specifications. Define acceptance criteria suitable for automated validation. Ensure traceability between user requirements, specifications and delivered functionality. Systems Engineering at Scale Design large-scale distributed systems operating across cloud-native environments. Define ..... full job details .....