Presales Enterprise Architect

Adobe
LondonPosted 27 March 2026

Job Description

Our Company Changing the world through digital experiences is what Adobe’s all about. We empower everyone, from emerging artists to global brands, to design and deliver exceptional digital experiences. Our mission is to hire the very best and create exceptional employee experiences where everyone is respected and has access to equal opportunity. We know the next big idea could be yours! The Opportunity We’re searching for an Presales Enterprise Architect with a focused specialism on AI to join our UK team! This role sits within the EMEA Enterprise Architecture organization, working with Adobe customers at all levels, from C-level executives to operational teams, advise on strategy, technology, and AI solutions that drive customer experience transformation and digital innovation. You’ll dive into architecture, identify prioritized paths forward for customers, and champion the adoption and governance of AI across the Adobe Experience Cloud. Role Overview The Presales Enterprise Architect – is a senior presales position providing direct support to regional sales and partner organizations. You’ll help develop opportunity pipelines and execute deal cycle strategies within complex and strategic sales opportunities, with a special focus on practical AI application, architecture, and governance. You are regarded as a trusted advisor by customers, colleagues, and the broader ecosystem. You’ll engage customers, manage rooms, partner with Adobe sales, drive product enhancements with Adobe product & engineering teams, and participate in marketing events and partner enablement. What You'll Do AI Strategy & Planning: Partner with Account Executives to define overall account strategy, focusing on technical vision and designing an impact roadmap that supports customers’ long-term strategy and use cases. Business Case Development: Support Account Executives in developing business cases for AI initiatives, ensuring alignment between business and technical objectives. AI Technical Case: Own and define customer AI architecture & technical milestones (current, future, and transition states). Partner with Solution Consultants to develop clear technical narratives and support delivery teams on technical scope, implementation timelines, and proposals. Account Management: Build trusted advisor relationships with customer CIO/CTO/CDO organizations, focusing on AI adoption and governance. Client Management: Act as a senior trusted advisor to customers, covering the entire journey of end customer experience and internal employee experience, with a focus on AI-driven transformation. Architecture Design: Validate the current state and goals of the customer, translating them into an appropriate AI-driven target state vision with a supporting IT roadmap and design for architecturally significant requirements (processes, applications, systems) based on Adobe’s AI solutions. Architecture Oversight: Advise on operationalizing mutual business strategy from the technical case during the sales cycle, ensuring smooth transition into post-sales and value realization stages for AI projects. Architecture Review: Provide ongoing reviews to clarify new requirements and jointly create a path to solution, impact plan, and stable client-vendor relationships for future AI business. Technical Leadership: Serve as the primary technical expert and resource to guide and support Solution Consultants in developing AI technical cases. Thought Leadership: Add value “beyond the sale” through long-term AI strategy development, providing industry insights, and connecting client needs to Adobe’s broader AI solution portfolio. What You Need To Succeed Broad knowledge of Adobe Experience Cloud solutions and deep expertise in AI architecture, including customer journey management, data management, personalization, analytics, and AI governance. Deep knowledge of cloud architecture patterns and how Adobe’s AI capabilities fit into best-in-class enterprise solutions. Str ... (truncated, view full listing at source)
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