Jobs

AEM Technical Architect

Adobe

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Location
Bangalore, India
Track
AI Solutions Engineer
Posted
November 4, 2026
Source
Workday

Job description

About the role

Adobe Consulting is seeking an experienced Technical Architect to join our team and lead the delivery of next-generation digital experience solutions for enterprise customers.

As the Adobe Experience Cloud ecosystem evolves towards AI-powered and agentic experiences, we are looking for an AEM Architect who combines strong expertise in Adobe Experience Manager with an understanding of emerging AI capabilities and their application to digital experiences.

The role goes beyond traditional AEM architecture. You will work closely with enterprise customers to define technology strategies, modernize digital experience platforms, and adopt emerging solutions such as Adobe Brand Concierge, AEM Co-worker and AI-powered content experiences.

You will act as a trusted technology advisor to customers, lead complex solution architecture and guide multidisciplinary teams to deliver successful outcomes.

What you'll do

AEM and Digital Experience Architecture

  • Be a recognized technical expert in Adobe Experience Manager, including AEM as a Cloud Service, Edge Delivery Services (EDS), Universal Editor and Document-based Authoring.
  • Architect scalable, secure and high-performance digital experience solutions across CMS, DAM, personalization and composable architectures.
  • Guide customers through modernization journeys, including migration from AEM 6.x, on-premise and other CMS platforms to AEM Cloud Service and EDS.
  • Define architecture and engineering practices that improve performance, Core Web Vitals, scalability and content authoring productivity.
  • Provide technical leadership across complex enterprise implementations and integrations.

AI and Agentic Experience Adoption

  • Understand and drive the adoption of emerging Adobe AI and agentic capabilities, including Adobe Brand Concierge, AEM Co-worker and other AI-powered Experience Cloud solutions.
  • Identify opportunities to leverage Generative AI and Agentic AI to transform digital experiences and content operations.
  • Architect solutions that integrate AI capabilities with existing AEM platforms, enterprise content, customer data and business systems.
  • Guide customers on AI-powered content creation, personalization, asset management, content supply chain and workflow automation.
  • Understand key AI architecture concepts such as LLMs, RAG, agent orchestration, APIs and MCP integrations, and their application in enterprise solutions.
  • Advise customers on responsible AI adoption, including security, data privacy, governance and brand safety.

Customer and Consulting Leadership

  • Act as a trusted technology advisor to senior customer stakeholders, including CIOs, CTOs and digital business leaders.
  • Lead customer workshops, architecture discussions, solution presentations and technology strategy conversations.
  • Understand customer business challenges and translate them into effective technology solutions and transformation roadmaps.
  • Shape consulting opportunities by defining solution approaches, contributing to proposals and articulating business value.
  • Clearly communicate complex technology concepts and the business value of emerging AI capabilities to technical and non-technical audiences.
  • Build strong relationships with customers, Adobe account teams, partners and product engineering teams.

Technical and Delivery Leadership

  • Provide end-to-end architectural leadership across large and complex customer engagements.
  • Lead solution discovery, architecture definition, technical design and implementation oversight.
  • Work closely with Delivery Managers and Project Managers to ensure successful project execution and customer outcomes.
  • Lead and mentor architects, developers and multidisciplinary technical teams.
  • Identify and resolve complex technical challenges and take ownership of architecture decisions.
  • Develop reusable architecture patterns, accelerators and best practices, particularly around AEM, EDS and AI-enabled solutions.
  • Stay current with Adobe Experience Cloud innovations and emerging AI technologies and share knowledge across the consulting community.
  • Manage multiple customer engagements and provide technical leadership with minimal supervision.

What you need to succeed

AEM and Digital Experience Expertise

  • 12+ years of experience in enterprise technology consulting, architecture and software delivery, with strong hands-on experience in Adobe Experience Manager.
  • Deep understanding of AEM architecture, including AEM as a Cloud Service, implementation, integrations, deployment and performance optimization.
  • Practical experience or working knowledge of Edge Delivery Services, including block development, Document-based Authoring, Universal Editor and modern front-end practices.
  • Experience with enterprise CMS, headless/hybrid CMS, DAM, composable architectures and digital experience platforms.
  • Strong understanding of AEM Assets, content management, workflows, metadata and enterprise integrations.
  • Familiarity with AEM Cloud Service tooling, Cloud Manager, CI/CD pipelines, Git workflows and Adobe App Builder.

AI and Agentic Capabilities

  • Good understanding of Generative AI and Agentic AI and their applications in digital experience platforms.
  • Awareness of Adobe's emerging AI capabilities, including Brand Concierge, AEM Co-worker, Firefly, GenStudio and LLM Optimizer.
  • Understanding of how AI agents can integrate with enterprise content, applications and business workflows.
  • Working knowledge of LLMs, RAG, agent orchestration, APIs, MCP and prompt engineering.
  • Ability to identify relevant customer use cases and architect solutions leveraging AI capabilities.
  • Understanding of responsible AI principles, including security, privacy, governance, IP and brand safety.

Technical and Architecture Skills

  • Strong knowledge of Java, JavaScript/TypeScript, HTML, CSS and modern web technologies.
  • Working knowledge of Python and APIs, microservices and enterprise integrations.
  • Understanding of cloud platforms

Skills

  • AI Agent

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