Senior Applied AI Engineer– Creative Systems & Brand Intelligence, Adobe Express

Adobe Adobe · Enterprise · San Francisco, CA +1

Senior Applied AI Engineer at Adobe Express focusing on building AI-native creative systems and agentic workflows that leverage brand frameworks, reusable assets, and design systems for scalable, brand-safe creative generation and collaboration. The role involves end-to-end system design, rapid prototyping, and productionizing AI-powered experiences, with an emphasis on integrating LLMs and multimodal AI into reliable, scalable systems.

What you'd actually do

  1. Own end-to-end system design and architecture across frontend experiences, AI-powered workflows, and platform integrations with focus on building scalable, extensible, and intelligent creative systems.
  2. Build intelligent creative systems that leverage enterprise brand frameworks, reusable assets, and design systems to power capabilities such as on-brand defaults, reusable creative elements, intelligent template adaptation, and AI-assisted branded content generation.
  3. Develop AI-powered experiences that enhance brand consistency, asset organization, creative collaboration, and reusable content workflows for teams and enterprises.
  4. Rapidly prototype and validate next-generation AI-native creative workflows, collaboration experiences, and intelligent creative tooling.
  5. Explore emerging approaches in agentic systems, multimodal AI, reusable creative intelligence, intelligent template adaptation, and AI-assisted collaboration experiences.

Skills

Required

  • 7+ years of experience building scalable full-stack applications, distributed systems, and modern web platforms with strong software engineering fundamentals.
  • Strong experience with modern JavaScript and frontend frameworks such as TypeScript, React, Web Components, ES6, Node.js, npm, MobX, LitElement, or similar technologies.
  • Strong understanding of web standards and browser internals including rendering pipelines, browser performance, reflow and repaint, shadow DOM, service workers, caching strategies, dynamic rendering, and modern frontend architecture patterns.
  • Hands-on experience designing and integrating AI and LLM-powered capabilities into scalable production applications, including application integration with LLMs, Retrieval Augmented Generation, agentic workflows, semantic retrieval, structured outputs, orchestration frameworks, multimodal AI systems, and AI evaluation pip

What the JD emphasized

  • AI-native creative systems
  • agentic creative workflows
  • multimodal AI
  • AI evaluation pip

Other signals

  • AI-native creative systems
  • agentic creative workflows
  • generative AI
  • multimodal AI