Adobe
- HQ
- San Jose, US
- Founded
- 1982
- Size
- 25,000+
- Website
- adobe.com
Currently tracking 206 active AI roles, with 444 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $224k).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer 5 Senior Machine Learning Engineer with expertise in generative modeling and computer vision to join Adobe's Applied AI team. The role involves architecting and shipping diffusion-based models, driving applied research into production, and mentoring engineers. Responsibilities include designing, training, and fine-tuning diffusion models for image, video, and multimodal generation, improving sampling efficiency, building production-grade pipelines for image/video understanding, developing and fine-tuning vision foundation models, integrating vision encoders with generative backbones, owning the full ML lifecycle, optimizing models for inference, designing scalable training infrastructure, and defining evaluation frameworks. The role also involves leadership, technical design reviews, and collaboration with product, research, and infrastructure teams. | Post-trainServe |
| Machine Learning Engineer 4 Machine Learning Engineer 4 at Adobe's Firefly Enterprise Video API team, focusing on designing, developing, and deploying GenAI backend services for video. The role involves optimizing model performance, enhancing MLOps, and translating research into scalable ML systems for enterprise customers. | 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 |
| 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 |
| Staff Applied Scientist - AI Guardrails Staff Applied Scientist focused on architecting and scaling AI guardrails and safety systems for generative models across multimodal platforms (image, video, audio). This role involves data-centric safety, detection, feedback-driven improvements, and translating research into production-ready systems, with a strong emphasis on ML systems architecture and responsible AI deployment. | Eval GatePost-train | 9 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer at Adobe Firefly Gen AI Models and services group, focusing on architecting, optimizing, and deploying generative AI models (image, vector, audio, video, multimodal) for Adobe's creative products. The role involves designing backend services, optimizing model pipelines, and providing technical leadership. | Post-trainServe | 9 |
| Machine Learning Engineer - II Machine Learning Engineer with 10+ years of experience, including 3+ as a Lead/Architect, to architect and optimize large-scale generative AI model pipelines and backend services for Adobe Firefly. The role involves collaborating with researchers, providing technical leadership, and exploring new ML/MLOps technologies to improve GenAI engineering effectiveness. Requires strong hands-on experience with GenAI models and shipping ML features, with preferred experience in model training/optimization and conversion. | Post-trainServe | 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 |
| Senior Machine Learning Engineer - Firefly Senior Machine Learning Engineer focused on building production pipelines and systems to improve deployed generative AI models using user feedback and behavioral signals. The role involves preference modeling, data processing, and evaluation infrastructure for multimodal generative workflows. | Post-trainServe | 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 |
| Senior ML Engineer - Firefly Senior ML Engineer at Adobe Firefly team, focusing on adapting large-scale pretrained multimodal generative models (image, text, video) for creative products. Responsibilities include research, prototyping, integrating new techniques, building end-to-end pipelines, and contributing to data strategy and user workflows. Requires strong ML engineering, deep learning, generative model, and Python skills, with experience in large-scale ML pipelines from training to inference. | Post-trainServe | 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 |
| Principal Machine Learning Engineer, Firefly Principal Machine Learning Engineer at Adobe Firefly, leading the development of scalable, high-performance generative AI systems for integration into Adobe products. Responsibilities include architecting and optimizing inference pipelines, building APIs, and providing technical leadership for a team of ML engineers. Requires extensive experience in production-scale GenAI deployments, particularly with training and inference optimization on GPU-intensive systems. | ServePost-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 |
| 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 |
| Machine Learning Engineer 5 Machine Learning Engineer at Adobe Firefly’s Generative AI Services team, focusing on building and optimizing scalable generative AI systems for integration into Adobe products. Responsibilities include designing inference pipelines, optimizing models, building APIs, and collaborating on model training and serving. | ServePost-train | 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 |
| 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 |
| 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 |
| 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 |
| Applied Scientist 4 Lead the development of next-generation generative AI capabilities for Adobe Creative Cloud, focusing on graphics and vector-based design workflows. This role involves transforming research into scalable, production-ready solutions, driving initiatives from exploration to productization, and impacting millions of creative users. | ShipServe | 8 |
| Senior Manager, Machine Learning Senior Manager, Machine Learning to lead the Document Cloud AI Team at Adobe. The role involves driving innovation and building transformative document experiences using Gen AI and advanced technology, from concept to customer impact. Responsibilities include leading scientists and engineers, ensuring scalability and reliability, collaborating with stakeholders, fostering a positive team culture, and attracting top talent. Requires strong experience in generative AI, LLMs, ML model development, production deployment, agentic AI systems, MLOps, and cloud ML services. | ShipAgent | 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 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 Machine Learning Engineer Senior Machine Learning Engineer at Adobe Journey Optimizer B2B, focusing on AI-powered customer journey orchestration. The role involves training and fine-tuning ML models, architecting ML pipelines, and contributing to the deployment and production operations of ML models and systems. Experience with generative AI, LLMs, fine-tuning, and MLOps is required, with a preference for RAG, agentic workflows, and personalization use cases. | Post-trainAgent | 8 |
| Sr. Applied Scientist Sr. Applied Scientist at Adobe focused on improving the quality and controllability of generative multimodal models, specifically in mid-training capabilities for image and video editing. The role involves designing and implementing training pipelines, identifying quality gaps, developing data curation and distributed training workflows, and optimizing inference for production environments. | Post-trainData | 8 |
| Applied Scientist 5.5 Lead the development of next-generation generative AI capabilities for Adobe Creative Cloud, focusing on graphics and vector-based design workflows. This role involves transforming research into scalable, production-ready solutions, driving initiatives from exploration to productization, and impacting millions of creative users. | ShipServe | 8 |
| 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 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 |
| Machine Learning Services Engineer - Firefly The ML Services Software Development Engineer will architect and implement performant, robust, and scalable GenAI services supporting deep learning models in large-scale, distributed environments. This role leads inference platform projects, collaborates with ML researchers to optimize GPU utilization, and monitors ML platform performance. | Serve | 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 |
| 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. Applied Scientist This role focuses on developing and implementing ML models for search, recommendations, and generative AI use cases within Adobe's creative suite. It involves fine-tuning LLMs and Diffusion models, optimizing inference, and processing multimodal data to assist users and recommend assets. The role also includes research into novel LLM architectures and evaluation methods. | Post-trainAgent | 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 |
| 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 |
| 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 |