• Own architecture decisions and define the technical roadmap for AI systems that scale with organizational needs • Provide technical leadership and mentorship, promoting best practices in coding, architecture, and system design • Oversee the design and implementation of machine learning infrastructure — from data pipelines to model deployment, ensuring reliability and performance • Implement and uphold high engineering standards, including testing, CI/CD, and code review processes • Lead project planning and execution, managing priorities, timelines, and deliverables in a remote environment • Collaborate cross-functionally with product, data, and DevOps teams to align AI initiatives with business goals • Evaluate and integrate new AI/ML frameworks, tools, and technologies to drive innovation and optimize performance • Monitor system health and model performance, proactively addressing scalability, accuracy, and reliability • Foster a culture of continuous improvement, career growth, and knowledge sharing within the team.