• Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat). • Build and optimize multi-agent systems that enable intelligent, collaborative decision-making to improve automation and customer experience. • Collaborate with cross-functional teams (engineering, product, data science) to translate business requirements into scalable AI/ML solutions. • Ensure system reliability, scalability, and performance through best practices in architecture, testing, and monitoring. • Stay at the forefront of AI and distributed systems research, bringing innovative approaches and tools into production environments. • Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services. • Consistently share best practices and improve processes within and across teams. • Serve as a lead member of engineering staff to provide a friction-less customer experience and maintain high standards of protection and availability. • Mentor and guide junior engineers and contribute to technical leadership.