• Design, implement, and ship AI-driven features and systems into production environments • Lead technical decision-making for AI architecture, data modeling, and system integration within your domain • Partner closely with Product, Engineering, and other stakeholders to translate business needs into scalable technical solutions • Identify and address reliability, scalability, performance, and observability challenges in AI systems • Implement and advocate for best practices for applied AI engineering, including agent evaluation, interpretability, data layer design, and monitoring • Mentor and guide other engineers, raising the bar on AI engineering quality and decision-making • Provide input into technical strategy and roadmap discussions related to AI capabilities and platform evolution