• Lead architectural design for new features, services, and system components. • Evaluate modern AI/ML technologies and determine appropriate use cases. • Make key technical decisions that balance performance, scalability, and maintainability. • Review designs, PRs, and technical documentation to ensure engineering excellence. • Evaluate and introduce new tools and technologies to improve software development productivity. • Perform full-stack development regularly across both frontend and backend systems, taking ownership of end-to-end feature implementation. • Develop and deliver core components of application, AI-powered features, and architectural components. • Diagnose and resolve complex technical issues across the full stack and drive sustainable solutions. • Ensure code quality, test coverage, reliability, and adherence to engineering standards. • Mentor, guide and manage engineers, and contribute to raising the technical bar across the organization. • Lead discussions on AI best practices, emerging trends, model evaluation techniques, and responsible AI usage. • Facilitate knowledge sharing, pair programming, and engineering best practices. • Collaborate with Product Management to translate product requirements into clear technical plans, architecture and milestones. • Partner with Engineering Managers to balance priorities, manage sprint commitments, and guide execution. • Streamline and optimize the CI/CD pipeline to improve deployment reliability, speed, and developer productivity. • Guide teams through incident response, root-cause analysis, and preventive improvements. • Work closely with Product, Design, Data/SME, QA, and DevOps to ensure alignment on goals and technical feasibility. • Communicate architectural decisions, tradeoffs, and implementation plans clearly to both technical and non-technical stakeholders. • Support go-to-market teams with technical insights for feature capabilities.