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Adobe

Senior Applied AI Engineer – Creative Systems, Brand Intelligence

Adobe

Senior Applied AI Engineer designing and developing intelligent creative systems at Adobe Express. Collaborating with multidisciplinary teams to advance AI-assisted workflow efficiencies and creative capabilities.

Posted 5/22/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $159,200 - $301,600 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsJavaScriptMobXNode.jsReactTypeScript

About the role

Key responsibilities & impact
  • 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
  • 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
  • Develop AI-powered experiences that enhance brand consistency, asset organization, creative collaboration, and reusable content workflows for teams and enterprises
  • Rapidly prototype and validate next-generation AI-native creative workflows, collaboration experiences, and intelligent creative tooling
  • Explore emerging approaches in agentic systems, multimodal AI, reusable creative intelligence, intelligent template adaptation, and AI-assisted collaboration experiences
  • Drive innovation initiatives that help shape the future direction of creative intelligence capabilities within Adobe Express
  • Build systems that intelligently retrieve and apply brand assets, reusable creative components, and design systems to maintain consistency across formats, channels, and collaboration surfaces
  • Contribute to systems that operationalize brand semantics, design constraints, reusable creative intelligence, and enterprise governance into scalable product capabilities
  • Design and integrate LLM-powered and multimodal AI workflows into production-grade systems with strong emphasis on reliability, trust, scalability, and user experience
  • Develop evaluation and quality frameworks for AI-powered creative systems including brand compliance, output validation, structured generation, hallucination reduction, and consistency scoring
  • Take full ownership of features from technical design and prototyping to implementation, experimentation, deployment, and operational excellence
  • Collaborate closely with researchers, engineers, UX designers, and product managers to define and build next-generation AI-assisted creative experiences
  • Engage in pair programming and peer reviews while collaborating with fellow engineers across frontend systems, AI workflows, platform integrations, and scalable architecture challenges
  • Operate, monitor, and continuously improve the systems you build with strong focus on scalability, observability, security, performance, and enterprise readiness
  • Remain deeply customer focused, solving complex creative, branding, and collaboration challenges for enterprise customers at scale.

Requirements

What you’ll need
  • 7+ years of experience building scalable full-stack applications, distributed systems, and modern web platforms
  • 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 pipelines
  • Experience designing evaluation frameworks and quality metrics for AI-powered systems including prompt iteration, output validation, consistency scoring, hallucination detection, safety guardrails, and measurable quality improvement
  • Strong product mindset with the ability to rapidly prototype and iterate in ambiguous and innovation-driven problem spaces
  • Demonstrated ability to independently drive complex technical initiatives from concept through productionization in fast-moving and ambiguous environments
  • Experience collaborating across technical and business stakeholders, especially within enterprise-focused environments
  • Excellent communication and collaboration skills with the ability to work effectively across engineering, research, product, and design teams
  • Curiosity and passion for exploring emerging AI capabilities and translating innovative ideas into scalable user experiences.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Remote work options
  • Professional development opportunities
  • Bonuses

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
full-stack applicationsdistributed systemsmodern web platformsJavaScriptTypeScriptReactNode.jsAI capabilitiesLLM integrationevaluation frameworks
Soft Skills
product mindsetcommunication skillscollaboration skillscuriosityproblem-solvingindependent initiativeinnovation-driven mindsetcustomer focustechnical initiative drivingadaptability