\\\\Description\\\\ \American Express invites you to share your resume so you can be considered for future Agentic AI opportunities in the Enterprise Technology Services organization.\\ At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. The Enterprise Data & AI organization plays a critical role in leveraging data and artificial intelligence as core drivers of innovation. This role focuses on scaling agentic AI platforms and capabilities that deliver measurable business value while meeting the highest standards of trust, security, and governance. As Vice President, Agentic AI Platforms & Engineering, you will lead the design, delivery, and scaling of agentic AI platforms and solutions across priority enterprise domains. This role balances strategic influence with hands-on execution, translating emerging AI capabilities into production-ready, governed, and scalable solutions. You will operate at the intersection of AI enablement, platform engineering, product delivery, and enterprise integration, partnering closely with senior technology, product, and risk leaders. \\\\Key Responsibilities\\\\ \\\\Agentic AI Platforms & Use-Case Enablement\\\\ Lead the delivery and evolution of agentic AI solutions, including autonomous agents, LLM-orchestrated workflows, and intelligent decisioning systems. Enable high-impact use cases by providing execution leadership, reusable patterns, and tooling. Partner with product and engineering teams to move initiatives from pilot to scaled production. \\\\Architecture, Engineering & Modernization\\\\ Drive platform modernization toward cloud-native, API-first, and event-driven architectures. Collaborate with architecture and engineering teams to integrate LLMs, orchestration layers, and AI services into enterprise platforms. Ensure platforms meet enterprise standards for reliability, performance, security, and cost efficiency. Design and oversee highly available, fault-tolerant distributed systems supporting agent orchestration, state management, and coordination. Ensure the platform scales horizontally across regions, clouds, and workloads with predictable performance. Lead architectural decisions around: Distributed state and memory (event sourcing, CRDTs, vector stores, state machines) Task scheduling and execution across heterogeneous compute Inter-agent communication, messaging, and coordination patterns \\\\Responsible AI, Risk & Governance\\\\ Embed responsible AI principles, model governance, and compliance controls into agentic AI solutions. Partner with Risk, Compliance, and Legal teams to ensure adherence to regulatory and policy requirements. Define guardrails, metrics, and monitoring AI performance and risk. \\\\Delivery, Execution & Portfolio Management\\\\ Own end-to-end delivery for multiple concurrent AI and platform initiatives. Translate strategic priorities into clear delivery plans, milestones, and success metrics. Track and report on business outcomes, adoption, and platform health. \\\\Leadership & Stakeholder Partnership\\\\ Lead and develop high-performing, cross-functional teams. Foster a culture of accountability, experimentation, and continuous learning. Communicate complex AI topics clearly to senior leaders and business partners. \\\\Minimum Qualifications\\\\ 10 years of experience leading technology, data, or AI initiatives in large, complex organizations. Demonstrated experience delivering AI-enabled or agentic systems into production environments. Strong understanding of cloud platforms, distributed systems, APIs, and modern software architecture. Proven ability to lead cross-functional teams and deliver measurable results. Experience operating in regulated environments with strong governance and risk controls. \\\\Preferred Qualifications\\\\ Experience with large language models (LLMs), agent orchestration frameworks, or intelligent automation platforms. Background in financial services, payments, fintech, or other regulated industries. Experience modernizing legacy platforms into cloud-native or AI-enabled architectures. Advanced degree in Computer Science, Engineering, or a related field. \\\\Qualifications\\\\ Depending on factors such as business unit requirements, the nature of the position, cost, and application laws, American Express may provide visa sponsorship for certain positions We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: \\+ Competitive base salaries \\+ Bonus incentives \\+ 6% Company Match on retirement savings plan \\+ Free financial coaching and financial well-being support \\+ Comprehensive medical, dental, vision, life insurance, and disability benefits \\+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need \\+ 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy \\+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) \\+ Free and confidential counseling support through our Healthy Minds program \\+ Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site . American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the Know Your Rights poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: \\\\Job:\\\\ Executive \\\\Primary Location:\\\\ US-Florida-Sunrise \\\\Other Locations:\\\\ US-Arizona-Phoenix, US-North Carolina-Charlotte, US-California-Palo Alto, US-New York-New York \\\\Schedule\\\\ Full-time \\\\Req ID:\\\\ 26003168

The role requires a minimum of 10 years of experience leading technology, data, or AI initiatives in large, complex organizations. Demonstrated experience delivering AI-enabled or agentic systems into production environments is essential. A strong understanding of cloud platforms, distributed systems, APIs, and modern software architecture is necessary. Proven ability to lead cross-functional teams and deliver measurable results is also required, along with experience operating in regulated environments with strong governance and risk controls. Preferred qualifications include experience with large language models, agent orchestration frameworks, or intelligent automation platforms, and a background in financial services or other regulated industries. An advanced degree in Computer Science, Engineering, or a related field is also preferred.