Demonstrated track record of developing internal platforms or workflow-driven systems, beyond solely delivering end-user AI features Strong decision-making ability in defining boundaries between deterministic systems and model-driven components Proven experience operating at senior, staff, principal, or architectural levels within engineering organizations Collaborative mindset with a focus on engaging closely with stakeholders to understand real-world workflows, rather than relying only on documented requirements Hands-on, day-to-day utilization of large language models (LLMs) as core development and productivity tools Deep technical expertise spanning backend systems, integrations, data pipelines, and application-layer logic Experience implementing human-in-the-loop processes, including review mechanisms, escalation paths, audit trails, and operational controls