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 |
|---|---|---|
| Machine Learning Engineer 5 Machine Learning Engineer to build and ship LLM-powered systems simulating consumer audiences for pre-testing ads and content. Develops inference and reasoning harnesses on LLMs, fine-tunes LLMs on data, and builds evaluation datasets and benchmarks. Requires substantial hands-on experience with LLM applications in production, including agentic systems, fine-tuning, and RLHF/RLAIF. Experience with MLOps and cloud ML services is needed. The role focuses on bringing cutting-edge AI research in synthetic audiences into a production product. | AgentPost-train | 9 |
| Machine Learning Engineer 5 Machine Learning Engineer to build and ship LLM-powered systems simulating consumer audiences for pre-testing ads and content. Develops inference and reasoning harnesses on LLMs, fine-tunes LLMs on data, and builds evaluation datasets and benchmarks. Requires substantial hands-on experience with LLM applications in production, including agentic systems, fine-tuning, and RLHF/RLAIF. Experience with MLOps and cloud ML services is needed. The role focuses on bringing cutting-edge AI research in synthetic audiences into a production product. |
| AgentPost-train |
| 9 |
| Principal Scientist - Agentic Product Principal Scientist to lead the end-to-end technical architecture and production buildout of Adobe's Agentic Product, focusing on LLM integration, agentic reasoning, and full-stack delivery across platforms. The role involves driving hands-on implementation, championing AI-assisted engineering practices, and collaborating across teams to ensure quality, reliability, and responsible AI. | AgentServe | 9 |
| 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 |
| 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 |
| Sr Applied Scientist, Generative AI/ML This role focuses on conducting research and development in Generative AI for visual, audio, and multi-modal outputs, with a strong emphasis on preparing data, training, fine-tuning, and adapting large foundation models. The scientist will develop and deploy novel generative AI technologies into Adobe products, publish research, and collaborate with other researchers and ML engineers. | Post-trainPretrain | 9 |
| Staff Applied Scientist Staff Applied Scientist at Adobe focused on building foundational generative multimodal models (image and video) through end-to-end training pipelines, data curation, and distributed training. The role involves leading core development in pre-training areas, partnering with research and other teams, and improving model quality and controllability. Requires strong expertise in Vision-Language Models and diffusion-based architectures, with an emphasis on publications and industry experience. | PretrainPost-train | 9 |
| Research Scientist Research Scientist role at Adobe focused on Generative AI, specifically large-scale foundation models like diffusion models. Involves research, development, and technology transfer to products, with a strong emphasis on publication in AI/ML venues. Requires a Ph.D. and excellent publication record. | PretrainPost-train | 9 |
| Director, Engineering – Agentic Product Director of Engineering for Adobe's Agentic Product, focusing on leading the technical execution of an AI-native experience for creators. The role involves defining, building, and shipping agentic experiences, ensuring end-to-end product quality, and growing the engineering team. Requires strong experience in AI/ML product engineering, LLM APIs, agent frameworks, and shipping user-facing AI products at scale. | Agent | 9 |
| Senior Research Engineer, Generative Prototyping Senior Research Engineer role focused on pioneering Generative AI video authoring, inventing and prototyping next-generation creative workflows. The role involves integrating multimodal models into agentic workflows and building user-facing GenAI experiences for creative tools, with a strong emphasis on bridging research and productization. | AgentServe | 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 |
| Staff Applied Scientist, Generative AI/ML Staff Applied Scientist role focused on Generative AI research and development for visual, audio, and multi-modal outputs. The role involves pioneering research, developing novel generative AI technologies, and training/fine-tuning large foundation models across various modalities. Emphasis on publishing research and collaborating with ML engineers to integrate technologies into Adobe products. | Post-trainPretrain | 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. | DataPost-train | 9 |
| Sr Machine Learning Engineer 5 -- AEP, Agentic System Senior Machine Learning Engineer to build and operate scalable intelligent AI systems for end-user AI products, focusing on agentic systems including orchestration, tool integration, retrieval, memory, evaluation, safety/guardrails, and high-performance backend systems. The role involves end-to-end architecture ownership, building AI-powered product capabilities, designing agent orchestration, developing core platform components (RAG, memory), establishing safety/governance/MLOps, and providing technical leadership. | Agent | 9 |
| Research Scientist Research Scientist role at Adobe focusing on Generative AI, specifically large-scale foundation models and diffusion models. Involves cutting-edge research, development of novel technologies, and potential transfer to products. Requires a Ph.D. and strong publication record in AI/ML. | PretrainPost-train | 9 |
| Technical Architect - Agentic Systems & Assistant Platforms Technical Architect role focused on designing and architecting advanced assistant and agentic frameworks using LLMs, VLLMs, and MLLMs, with a specific emphasis on image and multimedia domains. The role involves overseeing technical strategy, collaborating with cross-functional teams, mentoring engineers, and transforming conceptual designs into production-ready solutions. Key responsibilities include defining the vision and roadmap for agent orchestration, tool usage, memory, and scalable evaluation. | Agent | 9 |
| Senior Staff Applied Scientist - AI/ML Senior Staff Applied Scientist role at Adobe focusing on transforming AI/ML research breakthroughs into innovative product features for Generative AI, LLMs, and multimodal AI. The role involves scouting, adapting, and improvising research, prototyping, rapid experimentation, and deploying practical innovations for Adobe's products. Responsibilities include developing and enhancing GPU-accelerated pipelines for model training and inference, collaborating with researchers and ML engineers, and publishing work. Requires a Ph.D. or Masters with 10+ years of experience in AI/ML, with expertise in training AI/ML models in multimodal LLMs, Image, or Video, proficiency in training and optimizing large-scale models, and experience with post-training techniques like fine-tuning and alignment. | Post-trainServe | 9 |
| Machine Learning Engineer Machine Learning Engineer at Adobe to build advanced AI platform for creative workflows, focusing on reasoning systems, tool orchestration, and multimodal integrations using LLMs and VLLMs. The role involves post-training and evaluation of LLMs, designing and implementing agent system architectures, and developing practical agents for image generation and editing within flagship products like Photoshop and Lightroom. | AgentPost-train | 9 |
| Senior Applied Scientist Senior Applied Scientist at Adobe focused on improving the quality and controllability of generative multimodal models (images and videos). The role involves designing and implementing end-to-end training pipelines for foundational models, leading core development in pre-training areas, and developing scalable workflows for data curation and distributed training. Collaboration with research, data, evaluation, infrastructure, pre-training, and post-training teams is key to enhancing editing quality, instruction-following, visual fidelity, and edit consistency. | PretrainPost-train | 9 |
| Applied Scientist Research Scientist role focused on training large-scale generative AI models for image and video synthesis, emphasizing conditional generation, editing, and improving instruction compliance, controllability, and visual clarity. The role involves collaborating cross-functionally, developing evaluation pipelines, and translating research into production-ready implementations. | Post-trainPretrain | 9 |
| Senior Research Scientist Senior Research Scientist at Adobe Speech AI Lab focusing on speech generative AI, audio modeling, and multimodal learning. The role involves leading independent research, designing and advancing state-of-the-art AI models and training procedures, including foundation models and generative systems. Emphasis on modern large-scale model architectures, publishing research, and building prototypes for product integration. | Post-trainPretrain | 9 |
| Applied Scientist, Generative AI/ML Research scientist role focused on generative AI for visual, audio, and multi-modal outputs. Involves pioneering research, development, and deployment of novel generative AI technologies, including large-scale foundation models with deep reasoning capabilities. Requires expertise in training and fine-tuning models across various modalities and proficiency in deep learning frameworks. | Post-trainPretrain | 9 |
| 2026 University Graduate - Research Scientist/Engineer Research Scientist role focused on developing new music generation technology using generative AI, sequence modeling, multi-modal modeling, reinforcement learning, LLMs, diffusion, and distillation techniques. The goal is to push the state of the art and productize research for real-world impact in music creation. | Post-trainPretrain | 9 |
| Research Scientist Research Scientist role at Adobe Research focusing on Generative AI, including large-scale foundation models, diffusion models, and multimodal foundation models. The role involves conducting cutting-edge research, developing novel technologies, and transferring them to products. Requires a Ph.D. and strong publication record in AI/ML. | PretrainPost-train | 9 |
| Principal Architect, Express AI Foundations Principal Architect to build and implement the AI framework for Adobe Express, merging strong ML skills with proficiency in distributed systems, data architecture, and large-scale service development. This role blends applied research and engineering leadership, focusing on Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI, spanning model orchestration, inference systems, data pipelines, caching and storage layers, session analytics, and continuous evaluation frameworks. | AgentServe | 9 |
| Chief Architect for Adobe Intelligence Platform Seeking a Sr. Principal Architect to lead the design, build, and evolution of the Adobe Intelligence Platform, an AI infrastructure enabling agentic experiences across Adobe products. The role involves hands-on technical leadership, defining system boundaries, and driving execution for a platform encompassing agentic orchestration, model gateways, knowledge graphs, and planning/reasoning layers at enterprise scale. | AgentServe | 9 |
| Forward-Deployed AI Engineer - Marketing Analytics & Data Science This role focuses on embedding AI engineers within marketing teams to build tools and automations, transforming workflows with agentic AI at the center. The engineer will prototype solutions, gather feedback, and share learnings across the organization, measuring success by improved user workflows. | Agent | 8 |
| Forward Deployed AI Engineer — Lifecycle Marketing This role focuses on building and deploying AI agentic systems to reinvent marketing workflows within Adobe's Growth Marketing & Insights organization. The engineer will be embedded with the Lifecycle Marketing team, redesigning repeatable workflows and creating tools to transform how marketing managers operate. The goal is to improve existing processes and measure success by the impact on user workflows. | Agent | 8 |
| Forward-Deployed AI Engineer This role is for a Forward-Deployed AI Engineer embedded within a marketing team to rebuild workflows with agentic AI at the center. The engineer will build tools and automations, prototype solutions, and share learnings to scale good ideas across the organization, ultimately aiming to improve how people work. | Agent | 8 |
| Machine Learning Engineer Machine Learning Engineer to build AI systems for Adobe Journey Optimizer's autonomous operating system, focusing on improving product quality, accelerating issue resolution, and enhancing customer experience through intelligent automation and continuous learning. The role involves building LLM-based workflows, knowledge systems using vector embeddings, and integrating AI capabilities with production infrastructure. | Agent | 8 |
| Senior Applied Researcher Senior Applied Researcher at Adobe Express focused on building innovative machine learning models for Generative AI and Agentic scenarios. The role involves developing and deploying advanced ML models in computer vision, NLP, and multimodal learning, contributing to foundational AI systems, and integrating ML components into Adobe's Horizon AI Stack. Responsibilities include the end-to-end ML lifecycle, from experimentation to production deployment, and designing evaluation strategies. | AgentPost-train | 8 |
| 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 4 Senior Machine Learning Engineer at Adobe focused on designing, building, and optimizing backend services for ML and GenAI features, including agentic systems. The role involves end-to-end ownership from concept to production, model evaluation, and operationalization, with a strong emphasis on shipping customer-facing features. | AgentServe | 8 |
| Principal Product Manager, Research and AI - Foundations Principal Product Manager for Adobe's Research and AI team, focusing on defining and advancing foundational generative AI capabilities in image and video for Adobe's creative products. The role involves working with researchers, defining roadmaps, setting quality benchmarks, and translating customer needs into product requirements, with a strong emphasis on delivering market-ready capabilities and building evaluation frameworks. | ShipPost-train | 8 |
| Senior Full Stack Engineer – Agentic Product Senior Full Stack Engineer to build an AI-native agentic product across the full stack, integrating LLMs, agentic reasoning, and production infrastructure for Adobe's creative platforms. The role involves hands-on implementation, championing AI-assisted engineering practices, and collaborating across teams to ensure quality and scalability. | AgentServe | 8 |
| Machine Learning Engineer -4 – Agentic AI & Personalization Machine Learning Engineer focused on building agentic AI systems for enterprise personalization, involving LLM-powered agents, recommendation systems, and end-to-end ML pipeline architecture including low-latency inference and MLOps. | AgentServe | 8 |
| Senior Engineering Manager – Agentic Product Lead a team of engineers building Adobe's Agentic Product, an AI-native experience integrating generative models and creative intelligence for creators. This hands-on leadership role involves daily execution, team growth, and shipping quality agentic experiences across Adobe's surfaces, partnering with Product Management and collaborating with platform teams. | Agent | 8 |
| Senior Software Development Engineer, Agent Workflows, Firefly Boards Senior Software Development Engineer to own the workflow layer for Firefly Boards' agentic capabilities. This role focuses on building and managing the agent workflows, including safety, quality, and cost controls, and ensuring survivability across interruptions. The primary focus is on the application layer that runs on top of the agent platform. | Agent | 8 |
| Director, Data Science & Strategy Director, Data Science & Strategy for Adobe's Agentic Product team, focusing on Firefly and third-party agents. The role involves defining measurement frameworks, building AI-native analytical workflows, instrumenting experimentation, shaping product/GTM strategy with data, designing strategic intelligence layers, and driving insight governance. Requires deep technical fluency in data/AI systems, strategic judgment, and experience with agentic systems, experimentation, and LLMs. | Agent | 8 |
| Researcher/ML Engineer This role focuses on developing and deploying AI and computer vision technologies for Adobe's imaging products, including a new experimental camera app. Responsibilities include researching, developing, and optimizing algorithms, and translating them into production-ready code for various platforms. | ShipPost-train | 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 |
| Sr Engineering Manager, AI Enablement Senior Engineering Manager to lead a team building a central AI Platform focused on Agentic AI, MCP, and A2A frameworks. The role involves partnering with Product and Business leaders, building reusable AI capabilities, establishing standards, and leading a high-performing AI engineering team. Requires 10+ years of experience, including platform team leadership and experience with Generative AI platforms, Agentic AI systems, LLMs, RAG, and prompt orchestration. | Agent | 8 |
| Principal Engineer AI/ML Principal Engineer AI/ML at Adobe, focusing on designing, building, and scaling AI/ML systems for GenStudio. The role involves framing product features as ML tasks, analyzing trade-offs, managing data, implementing research techniques, defining benchmarks, architecting scalable ML systems, and optimizing model deployment. Requires strong software engineering and ML/DL expertise, with experience in Python, PyTorch, and GPU/TPU environments. | ShipAgent | 8 |
| Senior / AI Agent Engineer, Brand Concierge Senior AI Agent Engineer role focused on designing, building, and maintaining intelligent agents for enterprise use cases like customer experience, discovery, support, and lead qualification. Responsibilities include agent development, multi-agent communication, workflow orchestration, lifecycle management, continuous improvement, and deployment. Requires experience with LLM frameworks, conversational agents in production, and cloud platforms. | Agent | 8 |
| Machine Learning Engineer 4 Senior Machine Learning Engineer to design, build, and scale agentic AI platforms and products for enterprise customer experiences and marketing campaigns, focusing on the AEP Agent Orchestrator. | AgentServe | 8 |
| Staff AI VFX Engineer Staff AI VFX Engineer at Adobe's Firefly Foundry, focused on integrating generative AI into high-end visual effects for feature films and episodic content. The role involves building and validating AI-driven VFX workflows, solving production challenges like temporal coherence and art-directable control, owning the integration surface with DCC tools (Nuke, Houdini, Maya, etc.), and implementing multi-modal model orchestration for image, video, animation, and 3D generation models. Requires deep fluency in VFX workflows and working knowledge of generative AI fundamentals, with a focus on shipping production-grade AI-driven assets. | AgentPost-train | 8 |
| Applied Scientist Applied Scientist role focused on developing and fine-tuning large-scale foundation models for video understanding and generation, leveraging state-of-the-art Generative AI technologies. The role involves converting research ideas into production-ready code and collaborating with researchers and engineers. | Post-trainServe | 8 |
| Sr. AI Systems Architect (AI/ML), Brand Concierge Senior AI Systems Architect role focused on designing and architecting agent-based workflows, data pipelines, and orchestration systems for enterprise applications. This involves translating business needs into scalable AI solutions, defining RAG architecture, authoring technical specifications for LLM-based solutions, and collaborating with ML engineers and product teams. | Agent | 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 |
| Senior Data Science Engineer, GenAI Platforms & Data Infrastructure Senior Data Science Engineer role focused on building and operating production data and AI infrastructure for Adobe's Digital Experience business. The role involves creating LLM-powered agents, customer intelligence products, and reusable platform services, with a strong emphasis on data pipelines, feature workflows, and system reliability. The ideal candidate has deep data engineering experience, GenAI fluency, and platform thinking to ship reliable AI-enabled workflows into production. | AgentData | 8 |