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 |
|---|---|---|
| Senior Machine Learning Engineer, Firefly Foundry ML infra engineer to build and optimize infrastructures for large foundation model training on thousands of GPUs, including data processing, PyTorch training, and GPU optimizations with custom CUDA kernels. Focus on generative AI for text, images, and videos. | DataServe | 9 |
| Principal Scientist, Generation Data Architect (Image & Video & Audio) Principal Scientist to shape the data strategy for Adobe Firefly's multimodal foundation models (image, video, audio), focusing on sourcing, curation, and training large-scale visual data to improve generative model quality, controllability, and realism for millions of users. This senior IC role involves cross-functional collaboration with research, engineering, and product teams. | Data |
| 9 |
| Principal Product Manager, Research and AI - Data Principal Product Manager for Adobe's Research and AI team, focusing on defining and driving the data roadmap for foundational generative AI models. This role involves sourcing and processing training data for multimodal generative capabilities, acting as a bridge between data engineering, applied science, and product strategy to scale training data and improve downstream model performance. | DataPost-train | 7 |
| Dir, Machine Learning Eng Director of Machine Learning Engineering to lead a team in evolving a data platform to support AI/ML innovation, focusing on big-data management and compute abstractions within a governed trust framework. | Data | 7 |
| Advanced Analytics & Reporting Analyst 3 This role focuses on building and maintaining BI solutions using Power BI and Databricks, including data models, semantic layers, and dashboards. It involves developing ELT/ETL pipelines, optimizing DAX, and integrating AI/Gen AI features into reporting and analytics workflows. The role also requires Python scripting for data transformation and automation, supporting ad-hoc requests, and evaluating new technologies. | Data | 5 |
| Senior Data Science Engineer Senior Data Science Engineer at Adobe focused on developing and implementing models, improving data platforms, and analyzing large datasets. Requires strong expertise in ML, data mining, and big data technologies. | Data | 5 |