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 Engineering Manager - Agentic AI, Adobe Express Engineering Manager to lead a team building and operating the agentic AI foundation for Adobe Express, focusing on AI assistants, agentic workflows, and scaling LLM-based features for millions of users. The role requires deep understanding of how LLMs are integrated into complex systems, driving technical direction, and managing end-to-end delivery. | Agent | 9 |
| AI Software Architect, Forward Deployed This role is for an AI Software Architect focused on Forward Deployed Engineering for enterprise customers. The individual will own system design, platform standards, and technical relationships with large enterprise clients, transforming their content supply chains with generative AI. Responsibilities include designing end-to-end GenAI systems (RAG pipelines, agent orchestration, API integrations), establishing reusable patterns, shipping production code (minimum 40% hands-on), interfacing with C-level customers, driving product feedback, and mentoring engineers. The role requires experience building and shipping production GenAI products, a deep AI/ML engineering foundation, strong production engineering rigor, and executive communication skills. | AgentServe | 9 |
| Staff Machine Learning Engineer/Architect– Agentic AI & Personalization Staff ML Engineer/Architect to build LLM-powered agents for personalization and real-time decisioning systems, architecting end-to-end ML systems including feature pipelines, training, and low-latency inference, and leading MLOps practices. This is a 0->1 opportunity to define agentic AI for enterprise personalization. | 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 |
| Senior Machine Learning Engineer 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. Responsibilities include designing and developing agentic AI systems, ML workflows for model customization and serving, and partnering with researchers on productization. | AgentServe | 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 |
| Principal Applied Researcher Applied Researcher role focused on building innovative machine learning models for Agentic and Generative AI scenarios within Adobe Express. The role involves developing and deploying advanced ML models in computer vision, NLP, and multimodal learning, contributing to foundational AI systems for creative workflows, and designing evaluation strategies. Requires experience with modern ML architectures, cloud platforms, MLOps, and deploying ML systems at scale, with a preference for experience with LLMs and agent-based systems. | AgentPost-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 |
| 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 |
| AI Enterprise Architect This role focuses on designing, architecting, and implementing end-to-end GenAI and Agentic solutions for enterprise customers, integrating Adobe's existing platforms with new AI technologies. The Enterprise Architect will act as a technology leader, collaborating with various teams, advising customers, and rapidly prototyping solutions. The role emphasizes translating complex AI concepts into clear strategies and influencing both internal and external communities. | 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 |
| Sr. AI Systems Engineer- Agentic and Productivity Systems Senior AI Systems Engineer focused on designing, building, and operationalizing agent-based systems and AI infrastructure to improve developer productivity and engineering workflows within Adobe's Creative Cloud. The role involves developing multi-agent orchestration, building reusable infrastructure, implementing evaluation and observability pipelines, and hardening experimental workflows into production-grade services. | AgentEval Gate | 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 Engineering Manager - Forward Deployed Senior AI Engineering Manager at Adobe, leading a team of Forward Deployed AI Engineers and Creative Pipeline Specialists to build GenAI-powered content production systems for large brands. The role is player-coach, requiring hands-on coding (min 30% time), architecture decisions, and unblocking the team. Responsibilities include owning delivery outcomes, growing the team, setting technical direction, driving product feedback, scaling the organization through reusable capabilities, and representing the org externally. Requires 3+ years of management experience, hands-on GenAI experience (LLM integrations, RAG, agent frameworks), and experience in creative content supply chains. The role focuses on building and deploying AI systems that transform content production workflows. | AgentShip | 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 ML/AI Engineering Manager, GenAI Experiences Senior ML/AI Engineering Manager to lead the Experience ML/AI squad within GenAI Experiences. The role owns the ML strategy for AI Assistant, moving it towards real-time contextual intelligence, predictive workflow understanding, and natural-language UI control across Experience Cloud. Requires setting strategy, operationalizing ML execution, and scaling impact. Focuses on user outcomes and building proactive, grounded intelligence using UI context and user behavior signals. | Agent | 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 |
| Senior Manager, Forward Deployed AI Engineer Senior Manager, Forward Deployed AI Engineer at Adobe, leading a team to build GenAI-powered content production systems for large brands. The role requires a player-coach with a strong technical background, hands-on experience in deploying AI systems (LLM integrations, RAG, agent frameworks), and experience in creative content supply chains. The manager will own delivery outcomes, team performance, and technical quality, contributing at least 30% of their time to technical work. | 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 - 3 Machine Learning Engineer role focused on building and maintaining predictive models, optimization algorithms, and Agentic AI solutions for Adobe's advertising platform. The role involves developing production-ready features, working with large datasets and low latency requirements, and managing the full model lifecycle in a scalable production environment. | AgentServe | 8 |
| Senior Agentic AI Engineer Senior Engineer to build AI-native platforms and agentic AI systems that integrate LLMs, recommendation engines, and multi-agent orchestration for personalized digital experiences at Adobe's global scale. The role involves designing, implementing, and prototyping these systems, with a focus on production readiness, evaluation, and responsible AI guardrails. Experience with LLM APIs, multi-agent frameworks, RAG, vector databases, and distributed systems is required. | 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 |
| Staff Machine Learning Engineer 5 Staff Machine Learning Engineer at Adobe to design, build, and maintain AI/ML systems for GenStudio. Responsibilities include framing product features as ML tasks, analyzing trade-offs, managing data labeling, organizing datasets, implementing research techniques, handling cold-start scenarios, defining benchmarks, architecting scalable ML systems, and optimizing model development in GPU/TPU environments. Requires 12+ years of experience, expertise in ML/DL, Python, PyTorch, and scalable AI/ML system design. | AgentServe | 8 |
| Machine Learning Engineer 50 Machine Learning Engineer & Architect for Adobe Journey Optimizer B2B, focusing on AI and Agents team to define and own ML architecture vision for B2B journey orchestration platform. Role involves training/finetuning models, architecting ML pipelines, recommending models/metrics/governance, providing technical leadership, and deploying/operating ML systems. Requires 10+ years ML experience, 3+ years generative AI, strong Python, deep learning engineering, and experience with post-training techniques. | AgentPost-train | 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 |