Vice President, Engineering, SDLC AI Enablement or AI-DLC Enablement

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.

If you are energized by leading transformative change and shaping the future of how software is built, governed, and scaled across a global technology organization, this role offers a unique opportunity to make enterprise‑wide impact. You will drive the modernization of our Software Development Lifecycle (SDLC) by embedding AI‑augmented capabilities, strengthening governance frameworks, and enabling efficient, compliant, and developer‑friendly delivery at scale.

We are seeking a Vice President, SDLCAI Enablement who will serve as a strategic and hands‑on leader responsible for reimagining how engineering teams design, build, test, and deploy software. You will champion the adoption of intelligent automation, GenAI‑driven tooling, agentic frameworks and advanced control mechanisms to elevate SDLC maturity, accelerate delivery, and proactively reduce risk across the technology ecosystem.

In this role within American Express Technology, you will work across AI experts, engineering, risk, compliance, and product teams to define the next generation of AI‑augmented developer experience and SDLC. Your mandate includes driving productivity and developer satisfaction, optimizing processes for scale, and innovating the SDLC through AI‑powered insights and automation, while also strengthening risk and meeting regulatory requirements. This position reports into senior Technology leadership and serves as a critical partner in our modernization and regulatory alignment agenda.

• Drive AI‑enabled transformation of the end‑to‑end SDLC, optimizing how software is designed, built, tested, and released to accelerate delivery while strengthening quality and compliance.
• Lead the enterprise toward a unified, AI‑optimized SDLC by standardizing developer tools, frameworks, and CI/CD capabilities—ensuring governance at scale while maintaining a frictionless, high‑productivity developer experience.
• Strengthen security, compliance, and risk management across the SDLC by embedding AI‑enabled control frameworks that elevate software development excellence, including institutionalizing structured, AI‑augmented toll‑gate models (Plan, Permit, Build, Operate, Execute) to drive consistency and quality.
• Assess and deploy next‑generation AI‑based tools and automation capabilities that enhance engineering productivity across the SDLC.
• Lead enterprise‑wide adoption of AI solutions across the Software Development Lifecycle, guiding change management, and fostering a culture of continuous learning and innovation.
• Be on the frontier of designing and building software that keeps pace with innovations in agentic commerce, orchestration, open‑source frameworks, and the demand of scaling out internal agentic and Gen AI use‑cases at Amex.
• Drive Architecture best practice and lean Architecture governance that enables Gen AI and agentic workflows at scale.
• Build Foundational technology components to enable scaled integration of AI capabilities into new and existing ecosystem.
• Be a thought‑leader and influencer bringing expertise on best‑practices for fast‑evolving technology ecosystem, as we engage with partners and internal stakeholders on adoption.
• Partner with the senior technology, AI, engineering, infrastructure, and risk leaders to drive…