Job Description

The U.S. Consumer Services and Enterprise Digital & Data Technology Team delivers strategic technology capabilities across digital experiences, AI/ML, marketing technology, enterprise communications and automation.

We are looking for a Senior Engineer II – MarTech Architecture, Adobe Journey Optimizer & Decisioning to lead the architecture, design and hands-on implementation of enterprise customer journey orchestration, personalization and decisioning solutions.

This role requires deep expertise in Adobe Journey Optimizer (AJO), AJO Decisioning/Offer Decisioning, Adobe Experience Platform (AEP) and Real-Time CDP (RTCDP), combining architect-level thinking with hands-on engineering, strong ownership, technical leadership and effective engagement with business and senior stakeholders.

• Own the architecture, design and hands-on implementation of enterprise AJO and Decisioning/Offer Decisioning solutions.
• Architect real-time, event-triggered, audience-triggered and scheduled customer journeys, including events, audiences, actions/custom actions, conditions, channels and personalization.
• Design personalization and decisioning capabilities including eligibility, ranking, decision policies, business rules and propositions.
• Architect AEP/RTCDP solutions covering XDM schemas, datasets, identities, Real-Time Customer Profile, events, audiences and segmentation.
• Design end-to-end customer engagement solutions across Adobe Data Collection, Web/Mobile SDK, AEP, RTCDP, AJO, Decisioning and CJA.
• Architect and support enterprise integrations using REST APIs, Postman, JSON and custom actions, including authentication, payload validation and troubleshooting.
• Use SQL for data analysis, validation, reconciliation and troubleshooting.
• Drive engineering quality through code reviews, automated testing, CI/CD, deployment automation, monitoring, security, performance and scalability best practices.
• Provide technical and architecture leadership within Agile teams, mentor engineers and drive complex technical challenges through resolution.
• Take end-to-end accountability for technical quality, delivery, risks and business outcomes.
• Partner effectively with marketing, product, engineering, data, analytics, Adobe and implementation partners.
• Navigate ambiguity and influence across organizational boundaries to drive complex initiatives to resolution.
• Communicate architecture, strategy, progress, risks and recommendations to technical, business and senior management audiences, connecting technology decisions to customer and business outcomes.
• Identify opportunities to leverage AI/Generative AI across personalization, decisioning, content, analytics, engineering productivity and customer experience.
• 12+ years of technology/software engineering experience, preferably across MarTech, personalization, customer engagement, CDP, journey orchestration or enterprise application development.
• 5+ years of hands-on Adobe MarTech/Experience Cloud experience, with architect-level expertise and strong implementation capabilities.
• Demonstrated experience delivering enterprise Adobe implementations, including substantial AJO/AEP solutions.
• Deep hands-on expertise in AJO, journey orchestration, personalization and Decisioning/Offer Decisioning.
• Strong expertise in AEP, RTCDP, XDM, datasets, Identity Service, Real-Time Customer Profile and segmentation.
• Working with knowledge of CJA, Adobe Data Collection, Web SDK, Mobile SDK, Adobe Analytics and Adobe Target.
• Strong understanding of customer identity, profiles, audiences, event-driven architecture and real-time personalization/decisioning.
• Strong hands-on experience with REST APIs, Postman, JSON, SQL and enterprise integrations.
• Experience with Agile engineering, CI/CD, automated testing and cloud-native technologies including Docker and Kubernetes.
• Strong understanding of software design patterns, security, performance and scalability.
• Proven ability to lead and mentor technical teams, influence across organizational boundaries and balance strategy, architecture and hands-on execution.
• Excellent problem-solving, ownership, executive communication, presentation and storytelling skills.
• Curiosity and willingness to adopt emerging technologies, particularly AI/Generative AI.
• Additional Technical Experience Preferred
• Experience in one or more of the following is advantageous:
• Java, J2EE, Spring Boot and enterprise application development
• Relational databases and GCP Big Query
• JUnit, Cucumber, TDD and BDD
• Enterprise REST APIs and web services
• React or modern web technologies
• Multi-threaded programming and data structures
• Cloud-native deployment and monitoring
• Bachelor’s or master’s degree in computer science, Computer Engineering, Engineering, Technology or a related discipline, or equivalent relevant professional experience. Advanced degree preferred.

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 our 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.