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Medium - Tier-1 bank, metro location, senior specialized role reduces applicant density.
High - role requires payments domain, regulated banking experience, and specific enterprise AI automation expertise.
High - mandates 15+ years, 5+ years leadership, and deep mandatory AI, Java, cloud, and payments experience.
Lead and manage a team of software engineers developing AI-enabled intelligent automation solutions for Payments Operations and Client Servicing.
Own end-to-end delivery including planning, design, development, testing, deployment, and operational support of large-scale cloud-native automation platforms.
Provide hands-on technical leadership in architecture and implementation using Generative AI, LLMs, AI agents, workflow orchestration, and modern microservices-based systems.
15+ years of software engineering experience in large-scale enterprise applications and distributed systems.
5+ years managing software engineering teams, including global/distributed teams.
Proven experience designing and deploying enterprise-scale solutions using Generative AI, LLMs, or intelligent automation workflows in production.
Expertise in Java, Spring Boot, microservices, API development, event-driven architectures (Kafka), Kubernetes/OpenShift, and cloud-native DevOps practices.
Proven ability to lead high-performing engineering teams while actively engaging in technical architecture and software delivery.
Experience collaborating with business and technology stakeholders in highly regulated environments to translate business needs into scalable AI and automation solutions.
Background in building event-driven, scalable payment or financial services platforms leveraging modern AI architecture patterns and operational excellence best practices.