Join our "DevOps for Content" revolution as we partner with global brands and agencies to transform their end-to-end creative workflowsfrom ideation to activationto 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 enginefeeding 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 environmentsscaling products from prototype to production, pushing innovative research into real-world use cases, and owning product & business outcomesyou'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 mindsetbuild 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 microservicesintegrating 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 & Engineeringfueling 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 environmentown 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 basehelping 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, DALLE, 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), and AI services (Azure OpenAI, Cognitive Services) || Containerization & Orchestration: Docker, Kubernetes, and serverless deployments || CI/CD & IaC: GitLab CI/CD, Jenkins, GitHub Actions, Terraform, or equivalent || Monitoring & Logging: CloudWatch, Azure Monitor, Datadog, or similar
AI Tinkerer: 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. You keep ahead of market trends across third-party models, GPUs, and new AI applications.
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).
Customer-Centricity: Always prioritizing the customer and their needs and expectations first in everything you do. You are outstanding at contributing to a culture of customer-centricity among your team and your extended ecosystem.
Strong communicator: You translate complex AI concepts for both engineers and executives and guide customers through technical decisions aligned to business objectives.
Startup DNA: Thrives in fast-paced, ambiguous environmentsrelentlessly seeking better, faster, more innovative ways to solve customer objectives and challenges.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $153,600 -- $286,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
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