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Forward Deployed AI Engineer

Adobe

Salary: Not Disclosed
Remote, France
Engineer
Posted on September 12, 2025Expires on March 12, 2026

The Story Behind the Role

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Join our “DevOps for Content” revolution as we partner with global brands and agencies to transform their end-to-end creative workflows – from ideation to activation – to deliver AI-powered content services with speed, scale, and governance. Through an AI-first experimentation approach and deep expertise in both first-party and third-party AI models, we develop new applications, platforms, and scalable patterns that unlock the GenAI-powered Content Supply Chain. As a Forward Deployed AI Engineer, you will own the end-to-end development and launch of GenAI applications through Adobe and third-party generative models. You are an AI native who will embed directly into customer teams to spin up proof points in days and co-develop features that enhance customer value.

What You’ll Do

  • 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.
  • 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.
  • 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.
  • Bridge to Product: Capture field-proven use cases and funnel them back to Product & Engineering—fueling the Firefly roadmap.
  • Automate & Scale: Develop reusable components, CI/CD pipelines, and governance checks to ensure consistent, repeatable delivery.

What You Bring

  • 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).
  • 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.
  • AI Tinkerer: An 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.
  • Adobe Fluency: Deep understanding of Adobe Creative Cloud APIs/SDK/CEP, Firefly Services APIs, and nice to have: Adobe Experience Cloud integrations (AEM, Workfront Fusion, AJO or equivalent experience).
AIFull-StackGenAILLMRemoteFranceDevOps

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