AEM + AI NATIVE ASSOCIATE TECH ARCHITECT
Summary
Associate Tech Architect (6-8 yrs experience) who designs Adobe Experience Manager solutions (Sites, AEMaaCS, EDS) and integrates generative AI into them — building LLM-driven agent workflows with LangGraph, CrewAI, and AutoGen, running LLMOps, and using tools like GitHub Copilot and Claude to power personalization, content creation, and automation.
- Architect and implement comprehensive AEM solutions, including AEM Sites, AEM as a Cloud Service (AEMaaCS), and Enterprise Deployment Services (EDS), while integrating native AI functionalities.
- Design and deploy AI-driven workflows utilizing frameworks such as LangGraph, CrewAI, and AutoGen to automate complex content processes and enable intelligent agent interactions.
- Establish and manage LLMOps practices to ensure the reliable deployment, monitoring, and scaling of large language models within the enterprise environment.
- Leverage GitHub Copilot and Claude to accelerate development cycles, optimize code quality, and facilitate the seamless integration of AI-assisted tools into the engineering pipeline.
- Define and enforce architectural standards for AEM environments, ensuring security, performance, and scalability while incorporating new AI-native features.
- Collaborate with cross-functional teams to translate business requirements into technical specifications that utilize the full potential of AEM and AI technologies.
- Lead technical reviews and provide guidance on best practices for building resilient, AI-enhanced digital experiences.
Requirements
- Possess 6 to 8 years of professional experience in IT services, with a strong focus on Adobe Experience Manager architecture and development.
- Demonstrate deep expertise in AEM Sites, AEM Architecture, AEM as a Cloud Service (AEMaaCS), and AEM Enterprise Deployment Services (EDS).
- Show proven proficiency with AI development tools and frameworks, specifically GitHub Copilot, Claude, LangGraph, CrewAI, and AutoGen.
- Have hands-on experience implementing LLMOps strategies for managing the lifecycle of large language models in production environments.
- Exhibit a strong understanding of software engineering principles and the ability to design scalable, secure, and high-performance systems.
- Maintain a continuous learning mindset to stay abreast of emerging AI trends and their application within the Adobe ecosystem.
- Possess excellent communication skills and the ability to articulate complex technical concepts to both technical and non-technical stakeholders.