Title: Banking Solutions Architect (Director- BPS) Location: New York, US-NY, United States Category Other Job Description: Req ID: 372372 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Banking Solutions Architect (Director- BPS) to join our team in New York, New York (US-NY), United States (US). BPS Banking Solution Architect At NTT DATA Services, we know that with the right people on board, anything is possible. We&rsquo;re building the next era of Business Process Services&mdash;AI-native, agentic BPaaS that fuses deep process expertise with LLMs, AI agents, and data-first design. This is not outsourcing 2.0&mdash;it&rsquo;s services-as-software, built for scale, speed, and intelligence. Join our founding team and help transform industries like insurance, healthcare, and financial services with solutions that are 40% more efficient and infinitely more adaptive. If you want to build what the market hasn&rsquo;t seen yet, this is it. Location: Hybrid/Remote Type: Full-Time Role Overview: You will lead the design of end-to-end business process solutions powered by AI agents and decision-support platforms. Acting as the bridge between client stakeholders, product teams, and engineers, you will map current-state operations and co-create the future-state AI-native architecture. Key Responsibilities: - Understand client workflows (e.g., claims, lending, KYC) and pain points - Architect AI-native solutions leveraging modular agentic platforms - Define data and process models in collaboration with ontology and ML teams - Drive roadmap alignment between domain priorities and tech capabilities - Present solutions to C-level stakeholders and drive adoption Required Skills: - 10+ years in Banking Domain - Strong understanding of digital transformation and Business Processes, BPS / BPO - Experience in designing automation workflows or BPaaS models - Excellent client-facing communication for Solutions and large deals with executive storytelling skills - Familiarity with AI/ML & Agentic concepts, even if not hands-on About NTT DATA</u> NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information,

• Design high-level and low-level architectures for banking AI applications • Securely integrate modern AI applications with core banking systems and databases • Evaluate and select optimal LLMs, vector stores, and machine learning platforms • Ensure enterprise-grade high availability, low latency, and system scalability • Embed financial regulatory compliance, risk mitigation, and data privacy into every design decision • Partner with engineering, security, and platform teams through the full delivery lifecycle

• Diseñar e implementar flujos agentivos utilizando LangGraph para procesos complejos de múltiples pasos. • Aplicar patrones de gestión de estado, control de flujo, routing inteligente y mecanismos de fallback. • Desarrollar prompts estructurados y reutilizables con variables controladas y formatos de salida definidos. • Garantizar consistencia, confiabilidad y cumplimiento de buenas prácticas de privacidad y observabilidad. • Diseñar arquitecturas multi-repositorio con una clara separación entre configuración y lógica de ejecución. • Definir y mantener contratos y esquemas entre componentes para asegurar la interoperabilidad. • Integrar agentes y sistemas a través de APIs y protocolos de comunicación basados en MCP y estándares A2A. • Evaluar la calidad, precisión y consistencia de las respuestas generadas por modelos de IA. • Garantizar el cumplimiento de requisitos relacionados con uso de herramientas y validaciones de esquemas. • Trabajar en conjunto con equipos de negocio, desarrollo y arquitectura para integrar soluciones agentivas en plataformas existentes. • Participar en decisiones técnicas clave y liderar iniciativas relacionadas con IA Generativa. • Investigar y aplicar mejores prácticas en LLMs, Agentic AI, Prompt Engineering y frameworks emergentes. • Brindar mentoría técnica a perfiles junior y apoyar el crecimiento del equipo.

• Construir y mantener integraciones entre plataformas utilizando APIs REST, Webhooks y conectores nativos. • Trabajar con APIs, sincronización de datos y automatización de procesos entre múltiples sistemas. • Diseñar, desarrollar y optimizar pipelines de datos y procesos ETL. • Implementar y administrar dashboards, reportes y métricas clave para liderazgo y operaciones. • Configurar y mantener procesos de marketing attribution para rastrear el recorrido completo desde la generación del lead hasta la conversión. • Desarrollar automatizaciones impulsadas por IA para reducir trabajo manual y mejorar la eficiencia operativa. • Monitorear flujos de datos para garantizar precisión, disponibilidad y confiabilidad. • Diagnosticar y resolver problemas relacionados con integraciones, automatizaciones y pipelines de datos. • Documentar configuraciones, integraciones y procesos para asegurar escalabilidad y continuidad operativa. • Garantizar el cumplimiento de estándares de seguridad, acceso y confidencialidad de la información.