• Lead architecture and modernization of large-scale backend systems supporting AI-driven digital assistant platforms

• Design and implement real-time, high-concurrency, multi-user APIs and scalable data systems

• Drive enterprise platform standardization and decommission legacy systems

• Define technical strategy and influence multiple engineering teams across domains

• Mentor Principal and Staff Engineers to improve engineering excellence and collaboration

• Architect and optimize distributed systems and microservices for high scalability and reliability

• Lead cloud-native transformation initiatives across enterprise systems

• Improve DevOps maturity including CI/CD, automation, and operational efficiency

• Collaborate with product, engineering, and compliance teams to deliver AI-powered business solutions