We are looking for an experienced Enterprise AEM Architect to define and deliver enterprise-scale digital experience architectures leveraging Adobe Experience Cloud, AI/ML capabilities, and contemporary cloud platforms.

The ideal candidate will work closely with senior business and technology stakeholders to shape digital strategy, define architecture roadmaps, and design scalable, secure, and future-ready enterprise solutions. The role requires strong expertise in enterprise architecture, cloud-native technologies, AI-driven customer experiences, data platforms, and digital marketing ecosystems.

The candidate will translate business objectives into actionable technical strategies, ensuring alignment between technology investments, enterprise architecture, and measurable business outcomes.

Key Responsibilities1. Digital, Data & AI Strategy

- Partner with executive and senior client stakeholders to define digital experience, customer data, and AI/ML strategies.
- Translate business vision into multi-year architecture roadmaps covering Adobe solutions, data/ML platforms, and cloud services.
- Identify business drivers, KPIs, and value opportunities for personalization, customer journey orchestration, next-best action, and marketing optimization.

2. Enterprise & Solution Architecture

- Design end-to-end enterprise architectures across Adobe Experience Cloud and client technology ecosystems.
- Define customer data platform (CDP), identity resolution, customer profile management, data ingestion, governance, quality, and activation architectures.
- Recommend cloud-native architectures using API-first, microservices, event-driven, and serverless patterns.
- Design and integrate solutions across public cloud platforms, including Microsoft Azure and AWS.
- Define secure, scalable, and reliable architecture patterns covering identity and access management, zero-trust principles, observability, and reliability.

3. AI/ML & Intelligent Digital Experiences





- Design and integrate AI-powered customer experiences using AI/ML and LLM-based services.
- Understand and apply concepts such as prompt design, Retrieval-Augmented Generation (RAG), and model evaluation.
- Collaborate with data science and ML teams to define AI solution patterns, governance, and guardrails.
- Demonstrate awareness of agentic workflows and tool-using agents, including their implications for reliability, observability, and enterprise governance.

4. Architecture Governance & Stakeholder Alignment

- Align enterprise architecture with business strategy and delivery execution across marketing, product, data, analytics, and IT teams.
- Establish architecture governance, review processes, standards, decision forums, and operating models.
- Act as a liaison between client stakeholders, Adobe teams, technology teams, and external implementation partners throughout the engagement lifecycle.

5. Leadership & Communication

- Present architecture options, trade-offs, and recommendations to C-level executives and senior leadership.
- Lead architecture workshops, strategy sessions, visioning discussions, and roadmap presentations.
- Translate complex technical concepts into clear business value propositions for stakeholders at different levels.
- Drive architecture execution across multidisciplinary teams, including software engineers, application developers, data architects, and data scientists.

6. Practice Development & Pre-Sales

- Develop reusable architecture assets, reference architectures, design patterns, templates, and accelerators.
- Mentor architects and consultants on enterprise, AI,



and cloud architecture best practices.
- Support pre-sales activities, including solution design, effort estimation, proposals, and executive presentations.

Required Skills & Qualifications
- 12+ years of relevant experience in enterprise architecture, solution architecture, digital transformation, or related technology leadership roles.
- Proven experience developing and implementing enterprise architecture models and roadmaps.
- Strong understanding of architecture frameworks and patterns, including API-based architecture, SOA, and TOGAF.
- Hands-on architectural experience with public cloud platforms, particularly Microsoft Azure and/or AWS.
- Experience designing or integrating AI-powered solutions, including LLM-based services, prompt engineering concepts, RAG, and model evaluation strategies.
- Ability to collaborate with AI/ML and data teams to define scalable solution patterns, governance, and responsible implementation practices.
- Strong understanding of enterprise integration, APIs, cloud-native design, microservices, event-driven architecture, and distributed systems.
- Experience translating business vision and requirements into end-to-end technical architectures.
- Excellent stakeholder management, communication, presentation, and leadership skills.
- Ability to lead architecture strategy and execution across cross-functional business and technology teams.

Good to Have
- Experience with Adobe Experience Cloud, Adobe Experience Platform, Adobe Experience Manager (AEM), or other Adobe Experience Cloud solutions.
- Previous experience with digital marketing platforms and customer experience technologies.
- Experience with customer data platforms, personalization, journey orchestration, and omnichannel customer engagement.
- Familiarity with agentic AI workflows and enterprise AI governance.
- Experience supporting enterprise consulting engagements and pre-sales solutioning.

📌 Enterprise AEM Architect (Gurugram)
🏢 Cibronix Software
📍 Gurugram