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 |
|---|---|---|
| Director, ML Engineering Director, ML Engineering for Adobe's Firefly Foundry, an enterprise managed-service for custom multimedia generative AI. This role owns the engineering function for model productionization, serving, and operation at enterprise scale, focusing on inference, cost-to-serve, tenancy, and self-serve capabilities. The role involves leading a multi-team engineering organization, defining technical strategy for training and inference, and ensuring production reliability and economics. | ServePost-train | 9 |
| Sr Staff Machine Learning Engineer, Adobe Firefly Services Senior Staff Machine Learning Engineer at Adobe focused on building and optimizing scalable, high-performance generative AI services and inference pipelines for integration into Adobe products. The role involves designing GenAI services, APIs, and ML workflows for model customization and serving, with a strong emphasis on GPU-accelerated training and inference optimization. |
| ServePost-train |
| 9 |
| Engineering Manager, Express AI Foundations Engineering Manager to lead a team building the AI infrastructure for Adobe Express, focusing on Agentic AI, Imaging AI, Motion AI, and Personalization AI. The role involves technical leadership, people management, and owning the delivery of the AI stack including LLM orchestration, inference services, data pipelines, and evaluation frameworks. | ServeAgent | 8 |
| Sr Machine Learning Engineer, Adobe Firefly Services Senior Machine Learning Engineer focused on building and optimizing scalable generative AI services and inference pipelines for Adobe's creative products. The role involves designing core GenAI services, APIs, and ML workflows for model customization, serving, and integration, with a strong emphasis on GPU-accelerated training and inference optimization. | ServePost-train | 8 |
| Machine Learning Engineer, Firefly Services This role focuses on building and optimizing scalable, high-performance generative AI systems, specifically for inference pipelines and integration into Adobe products. It involves designing and building ML workflows for model customization, serving, and ecosystem integration, with a strong emphasis on GPU-accelerated training and inference. | ServePost-train | 8 |
| Machine Learning Engineer, Adobe Firefly Services Machine Learning Engineer focused on building and optimizing scalable generative AI services and inference pipelines for Adobe products. The role involves integrating various generative models, optimizing them for performance, and building APIs for product integration. | ServePost-train | 8 |
| Sr Machine Learning Engineer- ML Infrastructure & Data Platforms Senior Machine Learning Engineer focused on building infrastructure for large-scale, multimodal AI training and inference. The role involves developing distributed data loaders, data pipelines, batch inference systems, and improving system performance, scalability, and reliability. It also includes implementing search and retrieval systems, CI/CD workflows, and partnering with researchers to turn model requirements into scalable systems. | ServeData | 8 |
| Senior Machine Learning Engineer, AI Platform Senior Machine Learning Engineer focused on building and implementing AI platforms, leveraging deep learning technologies, and working with large-scale computing frameworks to analyze and leverage data for digital experiences. | Serve | 8 |
| 2026 University Graduate - Machine Learning Engineer Machine Learning Engineer role focused on building and optimizing scalable, high-performance generative AI inference pipelines and APIs for integration into Adobe's consumer products. The role involves optimizing models for latency and throughput, productionizing generative models, and developing enterprise-scale systems for customization and serving. | ServePost-train | 8 |
| Principal Service Engineer, Adobe Firefly Principal Service Engineer for Adobe Firefly's Generative AI Services team, leading the development and scaling of GenAI services and APIs. This role involves designing inference infrastructure, providing technical leadership, evaluating MLOps technologies, and driving cross-functional alignment for enterprise-scale GenAI systems powering various Adobe products. | ServeAgent | 8 |
| Senior AI Platform Engineer Senior AI Platform Engineer at Adobe Express, focusing on building and scaling the core AI platform infrastructure for creative experiences. The role involves developing backend services, data and inference pipelines, and runtime systems for model integration, evaluation, fine-tuning, and deployment. | ServeAgent | 7 |
| Staff Software Engineer - AI/ML Systems and Reliability Staff Software Engineer focused on building and scaling the AI/ML platform for Adobe Experience Platform's Personalization ML solutions and Generative AI capabilities. The role involves MLOps, infrastructure, and reliability engineering for scalable model training, reliable inference, automated ML workflows, and production-grade AI systems. | ServeAgent | 7 |
| Senior DevOps Engineer (AI Ops) Senior DevOps Engineer specializing in AI Ops to own infrastructure provisioning, CI/CD automation, telemetry pipelines, and production deployment for AI-powered services, agents, and orchestration systems. The role focuses on building and operating infrastructure for reliable, observable, and scalable AI systems in production, with SRE responsibilities for ensuring reliability, resilience, scalability, security, and cost-effectiveness. | ServeAgent | 7 |
| Machine Learning Engineer, Express AI Foundations Machine Learning Engineer at Adobe Express AI Foundations to build and scale the core AI platform powering creativity across design, imaging, motion, and personalization. The role involves developing production systems for Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI, focusing on model integration, inference services, data pipelines, storage, caching, analytics, and evaluation tooling. | ServeAgent | 7 |
| Senior Applied Scientist - Machine Learning Systems Engineer- Photoshop Senior ML Systems & Efficiency Engineer for Photoshop ART R&D team, focused on optimizing inference performance, latency, and cost efficiency for image editing applications. The role involves deep expertise in AI/ML systems, computer vision, distributed inference, and performance optimization, with a mandate to deliver production-ready ML systems at lower cost and higher efficiency. Responsibilities include designing and optimizing inference systems, developing high-performance GPU kernels, conducting performance profiling, collaborating on distributed serving systems, and establishing cost-aware ML engineering practices. | Serve | 7 |
| Sr Machine Learning Engineer Senior Machine Learning Services Engineer at Adobe to productionize AI and Generative AI capabilities into Adobe's creative products. The role focuses on building and optimizing backend cloud services for ML inference, including GPU acceleration, quantization, and other optimization techniques. It involves integrating new models, maintaining CI/CD pipelines, and ensuring production standards for observability and reliability. | Serve | 7 |
| Research Engineer Research Engineer focused on optimizing the resource consumption of large-scale generative AI models for cloud and on-device deployment, bridging cutting-edge research with product development. | ServePost-train | 7 |
| Sr. Software Development Engineer 55 Senior Software Engineer to build the platform powering Adobe Experience Platform's Generative AI capabilities, focusing on audience creation, journey optimization, and personalization at scale. The role involves architecting, designing, and building highly available, scalable services with comprehensive monitoring and alerting, working in multi-functional teams within the ML space. | Serve | 7 |
| Senior Software Development Engineer Senior Software Engineer to build the platform powering Adobe Experience Platform's Generative AI capabilities, focusing on audience creation, journey optimization, and personalization. The role involves designing and building scalable, highly available microservices, monitoring, and alerting systems within a multi-functional team, with a "good to have" for Generative AI and ML infrastructure experience. | Serve | 5 |
| Sr Software Engineer, Enterprise GenAI Senior Software Engineer for Adobe Firefly's GenAI client platform, focusing on backend services, APIs, and data pipelines. The role involves establishing architecture and quality coding practices, defining long-term solutions, and working closely with product and design teams to translate ideas into interactive prototypes. Experience with ML Ops workflows and generative AI models is a plus. | Serve | 5 |
| Senior Software Development Engineer Senior Software Development Engineer role within Adobe's Experience Platform, focusing on the Query Service engine. The role involves designing, building, and optimizing distributed systems for handling petabytes of data, applying ML techniques for predictive metrics, and potentially integrating LLMs for product intelligence. Requires strong big-data engineering, cloud-based data warehousing, and proficiency in technologies like Apache Spark. | Serve | 5 |
| Sr. Software Development Engineer 4 Senior Software Development Engineer 4 at Adobe, focusing on the Experience Platform's Query Service engine. This role involves designing, building, and owning critical parts of a large-scale, cloud-native data platform that applies data science and ML to improve personalized customer experiences. The position requires strong skills in big data engineering, distributed systems (Apache Spark), SaaS application development, and experience with various data storage and processing technologies. A plus is experience with LLMs for product intelligence. | Serve | 5 |