Multi-Solution Architect

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🗽 New York – Remote

🗽 New York – Remote

💵 $150k - $225k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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Code and Theory

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤝 B2B

☁️ SaaS

B2B • Digital Transformation • SaaS

Code and Theory is a technology-first creative agency that operates at the intersection of creativity and technology. The company partners with media and publishing companies to shape political news and delivers digital transformation for ambitious brands like Microsoft, Amazon, NFL, and more. As a trusted partner, the agency is known for its expertise in building end-to-end solutions that address consumer and business needs in today's evolving digital landscape. With a team composed of 50% engineers and 50% creatives, Code and Theory redefines the digital experience across various industries including automotive, sports, hospitality, finance, and education. They are recognized for their innovative approach in business transformation, AI-driven design systems, and strategic digital marketing initiatives.

📋 Description

• 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

🎯 Requirements

• 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 culture • Drive the evaluation and adoption of emerging AI technologies to maintain organizational leadership in innovative engineering practices • Mentor engineering teams on AI-native development approaches, instilling a commitment to continuous learning and state-of-the-art automation.

🏖️ Benefits

• None listed