About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Our team operates at the intersection of Adobe’s Generative AI platform and advanced creative workflows. We focus on building custom, production-ready generative AI solutions that integrate naturally into modern media pipelines. This is a highly autonomous, high-impact role with visibility across Adobe’s product, research, and engineering organizations. You will help shape how generative AI capabilities are translated into practical, user-friendly workflows—working hands-on with node-based systems and custom tooling to solve complex creative and technical problems. This role is well suited for someone with a strong VFX or media background who enjoys building tools, extending workflows with code, and exploring how generative AI can be applied in real production environments.

Requirements

  • 7+ years of experience in creative tooling for VFX, animation, or other high-end media production, with a strong understanding of production workflows and pipeline realities.
  • Hands-on expertise with node-based generative AI systems, such as ComfyUI or equivalent, and the ability to customize and extend them.
  • Strong programming skills in Python, with experience building tools, services, or automation for creative workflows.
  • Practical understanding of diffusion-based generative models and inference workflows, including quality, performance, and control trade-offs.
  • Experience integrating generative AI tools into DCC applications or pipelines (such as Houdini, Nuke, Maya, Blender, Unreal, or similar).
  • Experience designing, building, and maintaining reliable systems in cloud or hybrid environments.
  • Comfortable working in ambiguous problem spaces and rapidly learning new tools and technologies.
  • Ability to work independently in a hybrid or remote-first environment while collaborating effectively across teams and time zones.
  • Clear and thoughtful communicator with the ability to bridge creative and technical perspectives.

Nice To Haves

  • Experience designing artist-friendly user interfaces or abstractions for complex technical systems.
  • Familiarity with Adobe Creative Cloud applications and extensibility.
  • Background in building or maintaining internal tools, pipeline infrastructure, or workflow frameworks.
  • Experience mentoring or influencing best practices across multidisciplinary teams.

Responsibilities

  • Design, build, and iterate on custom generative AI workflows with an emphasis on node-based systems such as ComfyUI.
  • Rapidly prototype and refine artist-facing tools that integrate generative AI into established production pipelines.
  • Write high-quality code to extend, automate, and operationalize generative AI workflows, including scripting, backend services, and pipeline tooling.
  • Collaborate closely with Adobe research, product, platform, design, and engineering teams to translate new capabilities into usable solutions.
  • Apply production experience and VFX domain knowledge to ensure solutions align with real-world creative workflows and constraints.
  • Incorporate feedback to improve usability, performance, and reliability of tools and workflows.
  • Own solutions end-to-end, from early concept and experimentation through deployment, documentation, and ongoing iteration.
  • Contribute to engineering and workflow best practices for building scalable, flexible generative AI systems.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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