• Lead, coach, and develop a team of AI Engineers, including team leads and senior engineers • Establish clear goals, performance expectations, and development plans aligned with AI Engineering career frameworks • Foster a culture of technical excellence, accountability, inclusion, and continuous improvement • Support hiring, onboarding, and team capacity planning to meet delivery and growth objectives • Provide regular feedback, mentorship, and succession planning for key technical and leadership roles • Own delivery of multiple concurrent AI initiatives, ensuring solutions are scalable, reliable, and production-ready • Guide architecture and design decisions for AI systems, pipelines, and platforms in partnership with senior engineers • Ensure best practices across model development, deployment, monitoring, and AI lifecycle management • Drive operational excellence, including reliability, performance, cost efficiency, and incident management • Partner with product, data science, engineering, and business leaders to translate business needs into AI solutions • Contribute to AI Engineering strategy, roadmaps, and prioritization decisions • Communicate progress, risks, and trade-offs clearly to leadership and stakeholders