Forward Deployed AI Engineer

Adobe Adobe · Enterprise · Tokyo, Japan

Forward Deployed AI Engineer responsible for the end-to-end development and launch of GenAI applications using Adobe and third-party generative models. This role involves embedding into customer teams to rapidly prototype, engineer full-stack applications, and bridge field-proven use cases back to the product roadmap. The engineer will also focus on automation, scaling, and documenting best practices.

What you'd actually do

  1. Collaborate & Innovate: Partner with Technical Architects, Engagement Managers and Product teams to define customer requirements/use cases, facilitate technical workshops, and co-create specific GenAI solutions.
  2. Prototype Rapidly: Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and drive quick wins. UX/UI and rapid prototyping skills are a plus.
  3. Engineer End-to-End: Design, build, and deploy full-stack applications and microservices—integrating Firefly APIs, Common Extensibility Platform, GenStudio for Performance Marketing, headless CMS architectures and UX/UI Designs.
  4. Bridge to Product: Capture field-proven use cases and funnel them back to Product & Engineering—fueling the Firefly roadmap.
  5. Automate & Scale: Develop reusable components, CI/CD pipelines, and governance checks to ensure consistent, repeatable delivery.

Skills

Required

  • 3+ years as a full-stack developer or technical consultant
  • Extensive hands-on experience with modern AI technologies
  • 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)
  • Proficient with core cloud services (AWS/Azure)
  • Containerization & Orchestration: Docker, Kubernetes
  • CI/CD & IaC: GitLab CI/CD, Jenkins, GitHub Actions, Terraform
  • Monitoring & Logging: CloudWatch, Azure Monitor, Datadog
  • Fluent in Japanese

Nice to have

  • UX/UI and rapid prototyping skills
  • Adobe Creative Cloud APIs/SDK/CEP
  • Firefly Services APIs
  • Adobe Experience Cloud integrations (AEM, Workfront Fusion, AJO)

What the JD emphasized

  • own the end-to-end development and launch of GenAI applications
  • AI-first experimentation approach
  • AI-native tinkerer
  • Must be fluent in Japanese

Other signals

  • Develops and launches GenAI applications
  • Integrates first-party and third-party AI models
  • Builds proof points in days and co-develops features
  • Owns end-to-end development and launch of GenAI applications
  • Functions as a continuous product innovation engine