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 |
|---|---|---|
| 2026 Intern - Research Scientist/Engineer Adobe Research is seeking PhD or master's students for an internship to pursue research problems, develop new algorithms, run experiments, and produce prototypes, with the possibility of academic publication and application to Adobe's products. The role involves working with innovative Machine Learning algorithms and web-scale data. | Pretrain | 8 |
| AI Context Engineer This role focuses on building and maintaining context pipelines for LLMs in an enterprise setting, aiming to improve employee productivity and experience. It involves designing systems that assemble instructions, frameworks, standards, tools, and memory for accurate and safe model responses at scale. | Agent |
| 7 |
| Platform Automation Engineer This role focuses on organizing and orchestrating maintenance activities for Kubernetes clusters, building automation for scheduling requirements, and integrating systems like Git, JIRA, and Slack for fleet visibility and release orchestration. The goal is to reduce platform outages and increase velocity. While the role uses AI tools for individual velocity, its core function is platform automation and reliability engineering, not direct AI model development or deployment. | — | 5 |
| Software Development Engineer Software Development Engineer role focused on building and operating high-traffic, critically important services for Adobe's Experience Manager Assets Platform. The role involves architecting, developing, and maintaining scalable services, translating business requirements, defining and implementing DevOps components, and owning the reliability and performance of components. It emphasizes leveraging AI tools for operational automation and requires a strong DevOps orientation and an AI First approach. | — | 5 |
| Senior AEM Forward Deployed Engineer Senior AEM Forward Deployed Engineer at Adobe, focusing on building AI-powered services and innovative core product features for Adobe Experience Manager. The role involves hands-on enterprise software development, customer collaboration, and applying an AI-first experimentation mentality to deliver measurable value. | Ship | 5 |
| Sr. Analyst Quata Review and Planning Analytics This role focuses on designing, governing, and optimizing quota programs for a sales organization, ensuring alignment with business objectives and sales productivity. It involves leading quota review processes, developing renewal quota frameworks, and establishing governance models for complex sales scenarios. The role requires advanced analytical skills to evaluate quota attainment, territory performance, and identify optimization opportunities, as well as experience with CRM and sales planning platforms. | — | 0 |
| Technology Consultant This role is for a Technology Consultant (Customer Success Engineer) at Adobe Managed Services, focusing on Adobe Experience Manager (AEM) and digital marketing solutions. The role involves managing strategic client relationships, providing technical operations support, ensuring service level agreements (SLAs) are met, and collaborating with internal teams to drive customer value realization. It requires a strong technical background including Linux, cloud operations, front-end development, and the ability to obtain a Top Secret security clearance. | — | 0 |
| Product Manager, Talent Development & Learning Technology Experience & Adoption Product Manager for HR Technology, focusing on internal learning platforms. Owns the product ecosystem, driving adoption, efficiency, and reliability. Balances innovation with operational rigor, integrating learning technologies with HRIS, skills platforms, and other enterprise systems. Experience with AI/ML solutions for personalized learning is preferred. | — | 0 |