Currently tracking 218 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $221k).
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.
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 |
| 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 |
| Data Science Engineer 3 This role focuses on leveraging machine learning to analyze Adobe Creative Cloud data, uncover product and business opportunities, and inform product strategy and roadmaps. It involves designing and analyzing A/B experiments, partnering with product development teams, and working on product instrumentation and data capture. |
| Data |
| 5 |
| Computer Scientist - II ( Data Engineering ) This role focuses on data engineering, designing and building scalable distributed data processing systems and ETL/ELT pipelines. It also involves implementing and fine-tuning generative AI capabilities, exposing data products through backend services, and optimizing system performance. Experience with GenAI/LLMs, LangChain, LlamaIndex, and vector databases is required. | DataPost-train | 5 |
| Computer Scientist 2 ( Data Engineering + AI ) This role focuses on Data Engineering with a secondary focus on integrating and fine-tuning generative AI capabilities, building ETL/ELT pipelines, and developing backend services. It requires expertise in data processing systems and Python, with intermediate experience in GenAI/LLMs and application engineering. | DataPost-train | 5 |
| 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 |
| Data engineer Data Engineer at Adobe in Bangalore, focusing on designing, developing, and deploying data systems and pipelines, including those for LLM workflows. The role involves architecting data models, partnering with cross-functional teams, and ensuring data quality and integration with ML models. | 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 |
| Senior Software Development Engineer - Big Data and Spark Senior Software Development Engineer focused on Big Data and Spark for Adobe Experience Platform. The role involves developing modern data architectures, Big Data and Lakehouse solutions, and implementing them into production. It blends data infrastructure, AI workflows, and multi-cloud technologies to drive real-time customer intelligence, handling petabytes of data with high fidelity and velocity, and supporting data science and data governance initiatives. | Data | 5 |