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Adobe Multi-Solution Architect (US)

Code and Theory
CompanyCode and Theory
CategoryEngineering
LocationNew York
RemoteOn-site (inferred)
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted24 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Seeking a technical leader specializing in Adobe Experience Manager and Edge Delivery Services to spearhead digital transformation initiatives for a global clientele. Serving as the lead technical authority, you will oversee the transition of legacy environments toward AEMaaCS and modern EDS frameworks. This hands-on architectural capacity requires a sophisticated integration of CMS proficiency with NextJS/TypeScript and AI-enabled engineering practices. You will be responsible for the architectural integrity of migration efforts, driving pre-sales engagements, and fostering a culture of engineering excellence through mentorship. WHAT YOU'LL DO Spearhead comprehensive architectural transformations from legacy environments to AEMaaCS and Edge Delivery Services. Perform rigorous ecosystem audits, establish strategic roadmaps, and navigate intricate integration complexities Architect elite, scalable digital platforms ensuring fluid interoperability between the Adobe suite and enterprise third-party systems, including CRM and advanced analytics Maintain a hands-on presence in delivering sophisticated codebases across Java and modern TypeScript/NextJS stacks. Drive uncompromising testing methodologies to guarantee stable, zero-regression deployments Champion the integration of agentic workflows and AI engineering platforms such as Claude or V0 to optimize software delivery cycles and automate technical documentation Lead technical solutioning for global pitches, providing expert resource modeling and scope definition. Act as the primary technical authority for executive-level stakeholder engagements Cultivate a high-performance engineering culture focused on AI-native practices and state-of-the-art architectural patterns within the Adobe Experience Cloud ecosystem WHAT YOU'LL NEED 8 to 10 years of engineering experience Adobe AEM architect and other related certifications Extensive engineering background spanning over eight years, with a concentrated technical authority in Adobe Experience Manager (Sites/Assets) and Edge Delivery Services. We require a dedicated specialist, not a generalist, to lead these complex environments Demonstrated success in orchestrating complex migrations from legacy CMS infrastructures toward modern AEMaaCS and EDS frameworks Maintain a hands-on presence across the full technical stack, delivering elite code in Java, JavaScript, TypeScript, and NextJS. Capability to navigate from high-level architecture to resolving critical production bottlenecks is essential Champion the use of AI engineering platforms such as Claude, Cursor, or V0 within daily software delivery cycles. Proven ability to automate workflows and optimize delivery through agentic tools Expertly navigate architectural trade-offs, leading technical discourse on GraphQL mesh layers, cloud-native deployments, and the evolution of headless versus hybrid patterns Sophisticated commercial acumen with the ability to translate technical complexities into clear value propositions for executive-level stakeholders during pre-sales and discovery phases Proven experience fostering excellence across distributed global teams and managing senior engagements within enterprise environments Experience with solutioning & pre-sales engagements Experience with executive stakeholder management Strong commercial acumen and experience Experience working with global enterprise clients across US/EU/APAC Demonstrate comprehensive expertise in AI-assisted software development and its practical application Leverage AI engineering tools such as Claude or Cursor to accelerate software delivery, architectural design, debugging, code reviews, and testing Architect sophisticated agentic workflows, sub-agents, and automated orchestration layers to optimize technical operations Establish best practices for Agentic Engineering within daily development cycles, fostering a high-performance, AI-enhanced engineering cu
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