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 Scientist - Applied Research, ASML (Multimodal Foundation Models) This role focuses on applied research for multimodal foundation models, specifically concerning the scaling, quality, and innovation of training data across image, video, and audio. The Principal Scientist will guide a team in architecture and training strategies, pioneer data ablations, lead research, optimize distributed training pipelines, and translate research into production models for Adobe's creative tools. | DataPost-train | 9 |
| Sr. Manager, Applied Science - Generative AI Data Research Sr. Manager for Generative AI Data Research at Adobe, leading a team to build multimodal datasets for foundation model training. Focuses on data acquisition, filtering, curation, and pipeline development, with a strong emphasis on system design and applied ML workflows. | DataPost-train | 8 |
| Senior Manager, Applied Science This role leads a distributed team focused on Generative AI for Adobe Firefly Foundry, an enterprise-grade managed service. Responsibilities include defining strategy for data acquisition, processing, and quality, enabling multi-modal content generation, and building scalable data, pre-training, and post-training pipelines. The role requires deep understanding of ML data lifecycles, expertise in data quality and governance, and proficiency with cloud technologies, with a focus on ethical AI practices and leading a team through the full ML model lifecycle from research to customer impact. | DataPost-train | 8 |
| Director, Multimodal Data Research Director to lead Multimodal Data Research organization responsible for scaling, quality, and innovation in multimodal training data (image, video, audio) for Adobe Firefly's foundational generative and editing models. The role involves setting vision, leading multiple senior teams, and orchestrating execution across data ingestion, filtering, captioning, generation, editing-centric datasets, and data-driven training experiments. | Data | 8 |
| Manager, Applied Science Manager for a team building core systems that support training and development of foundation models for generative AI (image, video, multimodal). Focus on foundational training frameworks, tooling, and codebases for large-scale experimentation, reliable execution, and rapid iteration. Requires strong software engineering, systems experience, and applied ML understanding. | Data | 8 |
| 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 |
| Machine Learning Engineer Machine Learning Data Engineer at Adobe focused on building foundational infrastructure for large-scale multimodal AI training and inference. The role involves developing distributed data loaders, feature enrichment pipelines, and dataset management systems to support foundation model training at petabyte scale, processing billions of multimodal assets. | Data | 7 |
| Sr Manager, Machine Learning Engineering This role is for a Manager of Applied Research focused on leading and growing a team responsible for training data for Adobe's enterprise generative AI service, Firefly Foundry. The responsibilities include defining and executing strategy for acquiring, processing, curating, annotating, versioning, and ensuring the quality of large-scale datasets, building scalable data pipelines, and collaborating with researchers and ML engineers. The role requires strong leadership, deep understanding of ML data lifecycles for generative models, and expertise in cloud data technologies. | Data | 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 |
| 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 |
| Lead Data Engineer, Marketing Operations and Engineering Lead Data Engineer role focused on evolving a data platform to support analytics, reporting, machine learning, and generative AI use cases. The role involves designing and developing scalable data pipelines, ETL/ELT processes, and data platforms, re-architecting data models for AI-readiness, and enabling AI-enabled workflows. Collaboration with data scientists and AI/ML teams is key to building scalable, AI-ready data systems. | Data | 5 |
| Senior Data Engineer Senior Data Engineer at Adobe, responsible for building scalable data pipelines and applications that incorporate Generative AI and LLMs, blending structured and unstructured data. The role requires expertise in Spark, Databricks, Python, and SQL, with practical experience in AI/ML technologies and cloud platforms. | DataAgent | 5 |
| 2026 AI/ML Intern - Machine Learning Engineer Adobe is seeking a Machine Learning intern to apply AI and machine learning techniques to big-data problems. The intern will work on developing predictive models, implementing scalable modeling algorithms, and collaborating with product and engineering teams on new products and features. This role focuses on applying existing ML techniques to business problems. | Data | 5 |
| 2026 Intern- Software Engineer Internship role focused on software engineering with exposure to Data Science and Machine Learning/AI. The intern will work on real projects, contribute code, and explore datasets and ML models to support data-driven decisions. The role is based in Basel, Switzerland, with a hybrid schedule. | 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 |
| Senior Software Engineer – Big Data Senior Software Engineer role focused on building modern data architectures and Big Data/Lakehouse solutions for Adobe Experience Platform, driving real-time customer intelligence with a blend of data infrastructure, AI workflows, and multi-cloud technologies. The role emphasizes production delivery, performance optimization, and leveraging AI coding agents. | Data | 5 |