AI Enterprise Architect

The Opportunity As an EA you will lead multi-solution implementations for our strategic customers where you will drive professional services process improvements and efficiency while holding our high standards of delivery quality. You will also help develop a culture of innovation and technology excellence here at Adobe and within the larger enterprise architectural field and serve as a strong champion for change! The role of an Enterprise Architect within Adobe's Enterprise Sales team is to be the technology leader on our customer engagements. Our Architects have experience and expertise across enterprise marketing technology solutions, data, and integrations with other enterprise platforms. The Architect’s technical leadership, experience, and strategy will guide cross-functional project teams through definition, deployment, and optimization stages of Adobe Enterprise engagements to ensure customer success. What You’ll Do · Collaborate & Innovate: Partner with Enterprise Architects, Engagement Managers and Product teams to define customer requirements/use cases, facilitate technical workshops, and co-create specific GenAI and Agentic solutions. · Lead with Vision - Shape the enterprise narrative on GenAI and Agentic—translate complex architectures into clear strategies, evangelize best practices, and influence both internal and external communities through workshops, whitepapers, and thought capital. · Advise & Align - Serve as a trusted advisor to senior customer stakeholders—guide enterprise customers through the GenAI and Agentic landscape, connect innovation to business outcomes, and ensure solutions align with strategic priorities and long-term value. · Prototype Rapidly: Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and drive quick wins for our internal and external customers. · Architect End-to-End: Design, architecture and communicate full-stack applications and microservices—integrating Adobe Experience Cloud products with GenAI technologies, and future hands on with Adobe Experience Platform Orchestrator, Agents, and Composer. · Bridge to Product: Capture field-proven use cases and funnel them back to Product & Engineering—fueling the Agentic roadmap. · Operate at Speed: Thrive in a constantly evolving, start-up-like environment—own delivery sprints, tackle challenges on-site/remotely, and adapt to evolving AI trends. · Train & Elevate: Document your playbooks, prompts, and patterns in our internal knowledge base—helping the whole organization move faster. What you’ll need to success · Full-Stack Expertise: 3+ years as a full-stack developer or technical consultant building and launching production software (React.js/Next.js/Angular; Node.js/Java Spring Boot; REST/GraphQL, HTML, JavaScript, Java, XML). · GenAI Mastery: Extensive hands-on experience with modern AI technologies, including: Large Language Models (LLMs) – OpenAI GPT, Anthropic Claude, Meta Llama, Mistral, etc. || Diffusion models (Adobe Firefly, Stable Diffusion, DALL·E, Midjourney) || Retrieval-Augmented Generation (RAG) pipelines, vector databases (Pinecone, Weaviate, FAISS), and semantic search || Fine-tuning, prompt engineering, and model optimization || AI agent frameworks (AutoGen, LangChain, LlamaIndex) || Multimodal AI (text, image, video, audio processing) · Cloud & DevOps Expertise: Proficient with core services (EC2, S3, Lambda, IAM, CloudFormation) and AI/ML tools (SageMaker, Bedrock) || Azure: Experience with compute (VMs, Functions), storage (Blob), and AI services (Azure OpenAI, Cognitive Services) || Containerization & Orchestration: Docker, Kubernetes, and serverless deployments || CI/CD & IaC: GitLab CI/CD, Jenkins, GitHub Actions, Terraform, or equivalent || Monitoring & Logging: CloudWatch, Azure Monitor, Datadog, or similar · AI Tinkerer: AI-native tinkerer who embeds AI in your day-to-day workflows and spends your free time inventing and tinkering with the possibilities of AI. You keep ... (truncated, view full listing at source)