Adobe Multi-Solutions Architect (AEP/CDP) - Marketing

Role overview

Lead architecture and delivery of enterprise digital marketing solutions across multiple products in a major experience-cloud ecosystem. This senior, client-facing role combines solution design, hands-on software development, commercial planning, and AI-assisted engineering to improve personalization, customer data use, content, and marketing automation.

Responsibilities - Design and implement multi-channel marketing solutions using several products across the experience-cloud suite. - Assess existing digital ecosystems and recommend improvements to personalization, customer data, content, and automation. - Create solution architectures, governance practices, technical documentation, and longer-term roadmaps. - Lead estimation, scoping, resource planning, timelines, and technical pre-sales discussions. - Build proofs of concept, integrations, and production software using TypeScript, Next.js, Python, and Java. - Apply AI development tools to accelerate delivery and create agents, workflows, and automation; establish testing, performance, and engineering standards. - Coordinate with client and executive stakeholders, sales, and distributed engineering teams; mentor engineers and share technical practices.

Requirements - Eight to ten years of engineering experience, including enterprise architecture and digital transformation. - Deep experience across multiple experience-cloud products, with at least four years implementing or managing three or more; relevant architecture certification is required. - At least four years designing complex, multi-channel marketing solutions for enterprise clients. - Hands-on skills in TypeScript, Next.js, Python, and Java, plus experience with APIs, enterprise data platforms, and headless CMS tools. - Background in architecture, system design, project estimation, pre-sales, and executive stakeholder management. - Experience serving enterprise clients in the US and Europe, leading global delivery, and collaborating across distributed teams. - Practical AI engineering experience, including AI coding tools or equivalents and building agents, orchestrated workflows, or automation. - Strong communication, commercial judgment, problem-solving, and mentoring skills.

Benefits and work setup

Fully remote work with schedule autonomy, paid time off, and compensation in US dollars. The role involves collaboration with distributed teams and enterprise clients.