Forward Deployed Engineer (full-stack + Ai)

Adobe Adobe · Enterprise · Bangalore, India +1

This role focuses on the end-to-end development and launch of GenAI applications by integrating Adobe and third-party generative models. The engineer will embed with customer teams to build proof points rapidly, co-develop features, and bridge field-proven use cases back to the product roadmap. The role involves full-stack development, rapid prototyping, and scaling solutions with CI/CD pipelines and governance checks.

What you'd actually do

  1. Collaborate with Technical Architects, Engagement Managers and Product teams to define customer requirements/use cases, facilitate technical workshops, and co-create specific GenAI solutions.
  2. Apply an AI-first experimentation mindset—build proof points in days, iterate on feedback, and drive quick wins.
  3. 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. Capture field-proven use cases and funnel them back to Product & Engineering—fueling the Firefly roadmap.
  5. 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 building and launching production software (React.js/Next.js/Angular; Node.js/Java Spring Boot; REST/GraphQL, HTML, JavaScript, Java, XML)
  • AWS/Azure/GCP, containerization (Docker/Kubernetes), and CI/CD tooling (GitLab, Jenkins, etc.)
  • Deep understanding of Adobe Creative Cloud APIs/SDK/CEP, Firefly Services APIs, and Adobe Experience Cloud integrations (AEM, Workfront Fusion, AJO or equivalent experience)
  • Strong communicator who can translate complex AI concepts for both engineers and executives and guide customers through technical decisions aligned to business objectives.

Nice to have

  • UX/UI and rapid prototyping skills
  • 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.
  • Keep ahead of market trends across third-party models, GPUs, and new AI applications.
  • Customer-Centricity: Always prioritizing the customer and their needs and expectations first in everything you do.
  • Startup DNA: Thrives in fast‑paced, ambiguous environments—relentlessly seeking better, faster, more innovative ways to solve customer objectives and challenges

What the JD emphasized

  • own the end-to-end development and launch of GenAI applications
  • AI-first experimentation approach
  • spin up proof points in days
  • co-develop features that enhance customer value
  • scaling products from prototype to production
  • pushing innovative research into real-world use cases
  • own product & business outcomes

Other signals

  • end-to-end development and launch of GenAI applications
  • AI-first experimentation approach
  • co-develop features that enhance customer value
  • scaling products from prototype to production