Vice President, Agentic AI Platforms & Engineering

Position: Vice President, Agentic AI Platforms & Engineering (Future Opportunities)
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…