Adobe has 306 active job listings related to artificial intelligence. The majority of these roles, 47%, are focused on agents, with application-focused roles making up another 25%. Engineering is the primary function for these positions, with the United States being the dominant hiring country. Frequent technical tags include model serving, agent orchestration, and fine-tuning, suggesting a focus on deploying and managing AI models.
Currently tracking 218 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $221k).
Adobe currently has 314 active AI-related roles in our index. The most common open titles are: Senior Software Development Engineer (12), Machine Learning Engineer (6), Machine Learning Engineer 4 (5), Principal Product Manager (5), Software Development Engineer (5). Most positions are in Engineering and Product.
Adobe's active AI hiring is concentrated in: agents (48%), application (25%), serving infrastructure (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Adobe is hiring AI talent in: United States (236 roles), India (50 roles), Romania (22 roles), Canada (3 roles).
Job postings at Adobe most frequently reference: model serving, agent orchestration, llm observability, fine tuning, inference infra.
In the past 30 days, Adobe has posted 119 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Applied Scientist - AI Guardrails Staff Applied Scientist focused on architecting and scaling AI guardrails and safety systems for generative models across multimodal platforms (image, video, audio). This role involves data-centric safety, detection, feedback-driven improvements, and translating research into production-ready systems, with a strong emphasis on ML systems architecture and responsible AI deployment. | Eval GatePost-train | 9 |
| Principal Product Manager, GenAI Landscape Intelligence Principal Product Manager to lead Adobe's Firefly Scientific Evaluation Team, focusing on understanding, tracking, and leveraging the third-party generative AI landscape. This role involves direct engagement with AI model providers, conducting rigorous evaluations, and translating insights into actionable strategy for product teams. |
| Eval Gate |
| 7 |
| 2026 Intern - Data Scientist Internship role focused on building and implementing evaluation frameworks for AI Assistant quality, including automated pipelines using LLM-as-a-judge and classical ML models, and analyzing user interaction data to understand AI performance and failure modes. The role involves working with AI-powered product assistants within Adobe Experience Platform. | Eval GatePost-train | 7 |
| Principal Product Manager, Research - AI Safety Principal Product Manager to lead the development of commercial AI safety systems, defining strategy and driving execution of frameworks and protections for Adobe's generative AI ecosystem. This role involves collaborating with AI Safety, research, legal, and engineering teams to ensure trustworthiness and commercial viability. | Eval Gate | 7 |
| Product Security Engineer Product Security Engineer at Adobe focused on testing AI/ML and LLM-powered products. Responsibilities include reviewing AI-related penetration testing and bug bounty submissions, defining AI testing scope, driving resolution of security issues, building Security Testing reports, and communicating with external researchers. Requires strong application security knowledge, LLM testing methodologies, and hands-on experience in penetration testing AI/ML products. | Eval GateAgent | 7 |