Forward Deployed AI Engineer

Our Company 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 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. We function as a continuous product innovation engine—feeding repeatable customer solutions straight into the product roadmap to accelerate product-led growth. 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. If you thrive in start-up environments—scaling products from prototype to production, pushing innovative research into real-world use cases, and owning product & business outcomes—you’ll fit right in here! 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. Operate at Speed: Thrive in a constantly evolving, start-up-like environment—own delivery sprints, tackle challenges on-site/remotely, and adapt to evolving AI trends. Share & Elevate: Document your playbooks, prompts, and patterns in our internal knowledge base—helping the whole organization move faster. 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) || Multimodal AI (text, image, video, audio processing) 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), ... (truncated, view full listing at source)