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 |
|---|---|---|
| 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, 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Machine Learning Engineer Machine Learning Engineer at Adobe focused on designing, building, and optimizing backend services for ML and GenAI features, including agentic systems and orchestration. The role involves developing, evaluating, and deploying ML models, taking features from 0 to 1, and integrating solutions into production workflows. Requires strong Python software engineering, experience with production ML systems, and familiarity with cloud platforms. | AgentServe | 8 |
| Machine Learning Architect 5 - GenAI Experiences This role is for a Senior Machine Learning Architect focused on building and shipping AI-powered user experiences within Adobe Experience Cloud. The architect will design and evolve ML systems that blend GenAI and classical ML techniques, focusing on user-centric data, inference pipelines, and evaluation through user behavior. Responsibilities include end-to-end ownership from data to production, defining evaluation frameworks, and driving system reliability and scalability. | AgentServe | 8 |
| Senior Director, Product Management Senior Director of Product Management to lead the Developer Platform and AI Platform organization at Adobe. This role focuses on architecting internal and external platforms that power AI capabilities, encompassing developer experience, AI coding tools, API design, workload hosting, and the plugin ecosystem. The position requires shipping AI-powered platforms at scale, thinking in systems, and driving the strategy, roadmap, and execution of these foundational AI systems. | AgentServe | 8 |
| Senior AI Platform Engineer Senior engineer to design and build next-generation AI systems for Adobe Express, focusing on scalable, production-grade AI platforms with agentic experiences. This role involves architecting end-to-end systems for model orchestration, tool integration, memory, inference, data flows, and evaluation. | AgentServe | 8 |
| Senior AI Engineer Senior AI Engineer at Adobe responsible for building and deploying end-to-end AI products, including GenAI applications, LLM-powered agents, and RAG systems. The role involves full lifecycle ownership from ideation with stakeholders to deployment and impact measurement, leveraging AI-assisted coding tools for rapid development on cloud infrastructure. | Agent | 8 |
| Sr. Director, Product Management AI Platforms (AEP) Senior Director of Product Management to lead AI and agentic platform capabilities on Adobe Experience Platform (AEP), focusing on core platform services and applications built on top. The role involves defining AI product strategy, leading product vision and roadmap, shaping future agentic AI platform versions, driving cross-functional alignment, and managing a team of product managers. Requires proven platform/infrastructure product leadership, strategic thinking, deep AI/ML background, technical fluency, and experience influencing executive stakeholders. | AgentServe | 8 |
| Machine Learning Engineer Machine Learning Engineer to optimize customer experience orchestration by building products that transform audience creation, journey optimization, and personalization. Focus on developing innovative models, designing and deploying applications with predictive and generative models, building autonomous agents, and implementing ML-Ops best practices. | AgentServe | 8 |
| Machine Learning Engineer 3 Machine Learning Engineer at Adobe to optimize customer experience through predictive and generative models, focusing on autonomous agents and agentic frameworks. The role involves designing, developing, and deploying applications, implementing ML-Ops, and collaborating with research and product teams. | AgentPost-train | 8 |
| Senior Customer Facing Applied AI Engineer Senior Customer Facing Applied AI Engineer at Adobe, focused on implementing AI capabilities into customer applications and workflows, analyzing model behavior in production, designing evaluation pipelines, and ensuring AI features are usable, measurable, and scalable. The role involves deep technical work and on-site customer collaboration. | AgentEval Gate | 8 |
| Director of Software Engineering & Applied AI (Level 6) – Product Success Engineering, Adobe Experience Platform Director of Software Engineering & Applied AI to lead the development of AI agents, tooling, and automation for customer support, operation, and scaling of Adobe Experience Platform (AEP). Focuses on agentic-first solutions for troubleshooting, proactive monitoring, and adoption acceleration, transforming reactive support into proactive, data-driven customer success operations. | Agent | 8 |
| Sr Staff Product Designer, Emerging Agents Senior Staff Product Designer role focused on leading the design and delivery of intelligent agentic systems within creative and enterprise workflows. The role involves building and shipping AI-native capabilities, focusing on AI behavior, orchestration, and adaptive interfaces, with a requirement for direct work with models, prototyping in code, and contributing to production implementations. | Agent | 8 |
| Senior Forward Deployed Engineer Senior Forward Deployed Engineer role focused on implementing and integrating AI capabilities (specifically LLM-based applications) into customer workflows and applications. This involves building A2A integration patterns, creating SDKs, analyzing model behavior in production, designing evaluation pipelines with metrics and guardrails, instrumenting AI features with observability, and designing/implementing AI-backed services. The role acts as a bridge between customer needs and internal product/engineering, ensuring AI features are usable, measurable, and scalable. | AgentEval Gate | 8 |
| Lead Forward Deployed Engineer Lead Forward Deployed Engineer at Adobe, focusing on integrating AI capabilities into customer applications and workflows. This role involves implementing A2A integration patterns, creating reusable SDKs, analyzing model behavior in production, designing evaluation pipelines, and instrumenting AI features with observability. The engineer will also design and implement AI-backed services using Python and PyTorch, and act as a bridge between customer needs and internal product/engineering teams to ensure AI features are usable, measurable, and scalable. | AgentEval Gate | 8 |
| Principal Product Manager Principal Product Manager for Adobe's Agent Orchestrator platform, focusing on security, efficiency, transparency, and user-friendliness of intelligent agents across Adobe Experience Cloud. The role involves defining systems and tools for agent building, evaluation, and deployment, collaborating with engineering, research, and design to balance safety, performance, and developer velocity. | AgentEval Gate | 8 |
| Senior Applied Researcher Senior Applied Researcher at Adobe to leverage Generative AI and Machine Learning for customer experience optimization, focusing on audience creation, journey optimization, and personalization. The role involves developing cutting-edge models, building generative AI-powered applications, and providing technical leadership in design, deployment, and operations. Requires a PhD/MS with 10+ years of applied research experience, including deploying models into production, and expertise in LLMs and prompt engineering. | AgentPost-train | 8 |
| Senior AI Product Manager Senior Product Manager to define product vision and strategy for Agentic AI workflows in Adobe's Go-To-Market and Sales functions, focusing on planning, campaign orchestration, and seller productivity assistants. Requires experience with LLMs, agentic architectures, and building zero-to-one products. | Agent | 7 |
| Senior Data Automation Engineer Senior Data Automation Engineer at Adobe to build agentic AI-powered workflows for streamlining reporting, governance, and data validation in post-sales marketing operations. Responsibilities include exploring customer datasets, designing scalable ETL/ELT pipelines, developing automation workflows, and partnering with business teams. Requires 5+ years of data engineering experience, Python/SQL proficiency, experience with cloud data platforms and orchestration tools, and demonstrated experience with agentic AI frameworks. | AgentData | 7 |
| Senior Software Development Engineer Senior Software Engineer role focused on Adobe Journey Optimizer (AJO), a platform for personalized customer interactions. The role is a hybrid of deep technical engineering and direct customer engagement, acting as a link between customers and engineering teams. Responsibilities include understanding customer use cases, diagnosing and resolving issues, providing technical recommendations to customers, and building tools/services to improve product quality. A significant part of the role involves designing, building, and deploying microservices, and developing/incorporating AI/LLM agents and tools to enhance product quality and efficiency. Experience with AI/LLM concepts and GenAI frameworks is a strong plus. | Agent | 7 |
| Principal Product Manager Principal Product Manager to drive product vision and strategy for AI-powered agentic search, recommendations, and assistive experiences across Adobe's Cloud offering, integrating generative AI across text, image, and video modalities for creative professionals and novice users. | Agent | 7 |
| Director, Product Management - Agentic Product Director of Product Management for Agentic Product at Adobe, focusing on third-party strategy for agent-driven creative workflows. The role involves shaping how AI collaborates with creators, automating tasks, and amplifying creativity through packaging Adobe's capabilities for external AI surfaces like chat portals and operating systems. This includes developing standards for agentic packaging, commercial strategy, and partnerships with LLM providers to deliver 'Adobe for creativity' and 'Adobe for productivity' experiences via agentic harnesses. | Agent | 7 |
| Machine Learning Engineer Machine Learning Engineer at Adobe focused on developing and deploying scalable ML solutions, with a growing emphasis on integrating generative and agentic AI capabilities into existing analytical workflows for business clients. | Agent | 7 |
| Senior Staff Platform and Product Security AI engineer Senior Staff AI Security Engineer at Adobe Express, responsible for defining and executing the security strategy for AI-enabled product and technology frameworks. This role involves influencing security roadmaps, providing build-vs-buy recommendations, and implementing durable security mechanisms for AI products. Key responsibilities include architecting secure guardrails for AI-assisted development, securing AI coding assistants, leading production agent security (prompt injection defense, tool-use sandboxing, data isolation), and driving DevSecOps automation across the SDLC. The role also involves translating compliance requirements into engineering controls and tracking adoption metrics. | Agent | 7 |
| Senior Applied AI Engineer– Creative Systems & Brand Intelligence, Adobe Express Senior Applied AI Engineer at Adobe Express focusing on building AI-native creative systems and agentic workflows that leverage brand frameworks, reusable assets, and design systems for scalable, brand-safe creative generation and collaboration. The role involves end-to-end system design, rapid prototyping, and productionizing AI-powered experiences, with an emphasis on integrating LLMs and multimodal AI into reliable, scalable systems. | AgentShip | 7 |