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 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 |
| 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 |
| Principal Scientist - Applied Research, ASML (Multimodal Foundation Models) This role focuses on applied research for multimodal foundation models, specifically concerning the scaling, quality, and innovation of training data across image, video, and audio. The Principal Scientist will guide a team in architecture and training strategies, pioneer data ablations, lead research, optimize distributed training pipelines, and translate research into production models for Adobe's creative tools. | DataPost-train | 9 |
| Research Scientist - (applied research) Research Scientist role focused on Computer Vision and Machine Learning, with a strong emphasis on developing and deploying solutions that integrate into products. The role involves research initiatives, collaboration with product teams, designing evaluations, generating synthetic data, and manipulating complex datasets. Requires expertise in CV, LLMs, NLP, or multimodal understanding, with publications in top-tier conferences and a track record of production deployment. | Post-trainAgent | 9 |
| 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 |
| 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 |
| 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 |
| Research Scientist Research Scientist at Adobe's Media and Data Science Research (MDSR) Laboratory, focusing on NLP, Computational Social Science, and ML to develop innovative solutions for future digital experiences. The role involves transforming research into products, building evaluations, generating synthetic data, and integrating ML models into Adobe's platforms. Requires a PhD and production deployment experience, with publications in top conferences. | 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 5 This role focuses on engineering GenAI backend services for video, deploying ML models from experimentation to production, optimizing performance, and enhancing MLOps workflows. It requires expertise in Generative Video AI, model optimization, inference efficiency, and GPU acceleration for cloud-scale products. | ServePost-train | 8 |
| Senior Software Engineer (Python) – Gen AI Senior Software Engineer role focused on architecting and deploying production-grade AI systems, specifically Agentic AI workflows and RAG pipelines. Responsibilities include system architecture, GenAI implementation, model optimization (fine-tuning, prompt engineering), API development, and MLOps. Requires advanced Python, AI frameworks, vector databases, cloud platforms, data engineering, and DevOps skills. | AgentServe | 8 |
| Er: 2026 Intern - Research Scientist / Engineer Adobe Research is seeking PhD students for an internship to pursue research problems, develop new algorithms, and produce prototypes, with the possibility of academic publication and application to Adobe's products. The role involves working in areas like AI & Machine Learning, Content Intelligence, and Intelligent Agents. | Pretrain | 8 |
| Computer Scientist-I/II This role focuses on developing and deploying low-latency, high-performance distributed ML services and systems for Adobe Document Cloud Services. The engineer will be responsible for the end-to-end lifecycle of these services, serving a large user base globally. | ServeAgent | 7 |
| Sr. Computer Scientist Senior Infrastructure Developer to own, evolve, and scale the platform powering demanding ML training and serving workloads. This role involves architecting Kubernetes-native systems, leading cross-geo projects, writing production-grade code (Go, Python, Rust), and ensuring the reliability and efficiency of large-scale GPU clusters. Focus on infrastructure as code, deep observability, and complex networking challenges within a multi-cloud environment. | Serve | 7 |
| Senior Engineering Manager Senior Engineering Manager at Adobe to lead a high-performing engineering team in developing next-generation multi-cloud services, focusing on AI-powered features for customers and internal productivity. The role involves technical leadership, product architecture, roadmap planning, and talent acquisition within the Digital Experience business unit. | Ship | 7 |
| Computer Scientist 2 Backend engineer to enable and accelerate Video APIs powered by machine learning models. Will work closely with ML researchers, bringing AI experiences to users by enabling large-scale productization through cloud-based services. Design and development of services/components, full lifecycle responsibility, collaborate with ML engineers on orchestration and inference workflows, build scalable cloud services with observability, build GPU-optimized model pipelines, work with distributed teams to build GenAI services/API for video workflows, partner with internal client teams and enterprise customers. | ServeAgent | 7 |
| Computer Scientist - II This role focuses on building Gen AI-powered concierge experiences for enterprise customers, involving scalable distributed systems, LLMs, RAG, and agentic workflows within Adobe Experience Cloud. | Agent | 7 |
| Computer Scientist 2 (Frontend) This role is for a Computer Scientist 2 (Frontend) at Adobe, focusing on building new features and experiences for Adobe Express. The role involves full-stack development, including front-end (JavaScript, TypeScript, React), back-end (NodeJS, APIs), and cloud services (AWS). A significant part of the role involves integrating AI capabilities into product features and building agentic workflows for the SDLC, requiring careful design for safety, reliability, and performance. | Agent | 7 |
| Computer Scientist - Fullstack Full Stack Engineer with expertise in TypeScript, JavaScript, and Web Component Frameworks, responsible for end-to-end feature development, system design, and integrating AI capabilities into product experiences, specifically focusing on building multistage LLM pipelines and AI-powered content generation systems. | Agent | 7 |
| Principal Product Manager, Search & GenAI Principal Product Manager for Adobe's Search & Discovery team, focusing on AI-powered agentic search, recommendations, and generative AI for creative tools. The role involves driving product vision, planning, and execution across web, mobile, and desktop products, with a strong emphasis on integrating these AI capabilities to improve creative efficiency. Requires extensive experience in AI/ML product delivery, search technologies, and RAG. | Agent | 7 |
| Director of Engineering Director of Engineering at Adobe leading a senior engineering organization focused on large-scale, cloud-native platforms and AI/GenAI-powered capabilities. The role involves defining technical vision, leading design and delivery of distributed systems and microservices, and managing teams that build AI/GenAI features and improve engineering efficiency with AI. Requires deep expertise in distributed systems, cloud platforms, and a solid understanding of AI/GenAI. | Agent | 7 |
| Senior Director, Product Management Senior Director, Product Management for Adobe Illustrator, focusing on defining strategy and roadmap for AI-driven creative workflows and agentic capabilities to drive product growth and user engagement. | Ship | 7 |
| Computer Scientist 2 ( Python -GenAI ) Lead Engineer role focused on designing, developing, and deploying scalable GenAI solutions, including agents, applications, and microservices. Involves building data workflows, managing API infrastructure, implementing RAG patterns, and optimizing AI performance. Requires strong Python, cloud, and AI/ML infrastructure knowledge. | Agent | 7 |
| Agentic Outcome Engineer This role focuses on designing, building, and optimizing AI-powered agents to improve customer experiences with Adobe products. The engineer will own the full lifecycle of these agent systems, from development to continuous improvement, driving business impact through data-driven insights and collaboration. | Agent | 7 |
| Machine Learning Engineer 4 Machine Learning Engineer at Adobe responsible for developing, implementing, and operating scalable ML models, with a focus on Agentic AI solutions, predictive modeling, Reinforcement Learning, and Forecasting. The role involves end-to-end model lifecycle management, MLOps, performance tuning, production monitoring, and ensuring governance, security, and compliance for ML pipelines. | AgentData | 7 |
| Machine Learning Engineer 3 Machine Learning Engineer at Adobe responsible for developing and scaling deep learning algorithms in NLP and computer vision, with experience in RAG and GenAI systems. The role involves building efficient, reusable code and shipping ML-powered products and services. | ServeAgent | 7 |
| Product Manager (Advertising) Product Manager for AI & Optimization within a programmatic advertising platform, focusing on GenAI and agentic systems for campaign management and optimization. Requires experience in adtech and working with Data Science/Engineering on algorithmic products. | Agent | 7 |
| Senior Software Engineer (Python) – Gen AI Senior Software Engineer with Python and Generative AI expertise to lead the architecture and deployment of production-grade AI systems, focusing on LLMs, RAG, and Agentic workflows. Responsibilities include building scalable backend systems, implementing GenAI workflows, fine-tuning LLMs, developing APIs, managing data and MLOps, and providing technical leadership. | AgentServe | 7 |
| Senior Software Engineer (Python) – Gen AI Senior Software Engineer with Python and Generative AI expertise to lead the architecture and deployment of production-grade AI systems, focusing on LLMs, RAG, and Agentic workflows. Responsibilities include building scalable backend systems, implementing GenAI workflows, fine-tuning LLMs, developing APIs, managing data and MLOps, and providing technical leadership. | AgentServe | 7 |
| Group Product Manager Group Product Manager at Adobe to lead AEM Guides, focusing on integrating generative AI and ML into core product experiences for intelligent authoring, automation, content reuse, and improved search/recommendations. The role requires setting product vision, owning the roadmap, and delivering outcomes across growth, adoption, and customer satisfaction, while ensuring responsible AI practices. | Ship | 7 |
| Engineering Program Management This role is for an Engineering Program Manager within Adobe's Firefly organization, focusing on the development and release of Gen AI technologies and products. The role requires managing project schedules, dependencies, and cross-functional teams to ensure successful product delivery. While the role operates within an AI-focused organization and requires understanding of the Gen AI tech stack, the core responsibilities are program management, process improvement, and coordination, rather than direct AI/ML model development or research. | — | 5 |
| Engineering Program Manager Engineering Program Manager at Adobe's Firefly organization, responsible for coordinating the development and release of technologies, products, features, and functions. The role requires understanding the Gen AI tech stack, leading projects through the software development lifecycle using agile methodologies, managing dependencies, and driving process improvements. While the role operates within an AI-focused organization (Firefly), its core responsibilities are program management, not direct AI/ML model development or research. | — | 5 |
| Lead Software Quality Engineer Lead Software Quality Engineer for Adobe Connect product, focusing on quality of large-scale distributed systems and cloud services. Responsibilities include designing and developing automation test suites, participating in the engineering lifecycle, defining E2E test strategies, and building scalable test frameworks. The role emphasizes leveraging AI-based tooling to enhance automation velocity, coverage, and quality, and requires proficiency in JavaScript and Java, strong automation framework expertise (Playwright, Selenium, Cypress, TestNG), and experience with Kubernetes and AWS. | — | 5 |
| Machine Learning Engineer - 5 Machine Learning Engineer focused on MLOps/Platform engineering for Adobe's Advertising Cloud Search, Social, Commerce platform. Responsibilities include managing the model lifecycle, developing CI/CD and orchestration workflows, monitoring production models, and ensuring governance, security, and compliance for ML pipelines on AWS. | Serve | 5 |
| Software Development Engineer 2 Frontend engineer responsible for building and shipping user interfaces for Adobe's Creative Cloud web and mobile experiences. The role involves using AI-assisted tools as part of the development workflow. | — | 5 |
| Computer Scientist-II Software Engineer with 6+ years of experience in Scala, Java, or Python, focusing on building and deploying scalable microservices and distributed systems using Apache Spark, cloud platforms, and orchestration tools. Experience with messaging/streaming platforms and data lake formats is a plus. | — | 5 |
| React/Full Stack UI Engineer React/Full Stack UI Engineer to lead automation and development of internal tools that support adobe.com websites. This role will build scalable automation solutions to improve and simplify content production workflows, enabling teams to efficiently manage and publish global digital experiences. The role requires bringing Generative AI (GenAI) into play to develop intelligent systems for content auditing, production workflow automation, and decision support. This work will help scale web operations and enhance efficiency. | Agent | 5 |
| Advanced Analytics & Reporting Analyst 4 This role focuses on advanced analytics and reporting for sales quotas and commission frameworks within Adobe. It requires strong Python, SQL, and Sales Operations domain knowledge, including quota planning and performance analysis. The role involves leading a team and partnering with Sales, Finance, and RevOps to ensure data-driven decision-making and scalable analytics solutions. While AI/ML or AI agents are mentioned for automation and predictive insights, the core function is not AI model development but rather applying these tools to existing business processes. | — | 5 |
| Senior Product Manager (Frame.io) Product Manager role at Adobe, focusing on Frame.io. The company emphasizes AI in its products and hiring process, but the core responsibilities of this PM role are not directly building or shipping AI models. The role is product-focused within the consumer domain. | — | 5 |
| Mgr, Business Process Automation Manager of Business Process Automation responsible for driving automation strategy and implementation across business functions using RPA, Process Mining, and AI-powered agents. The role involves leading a team to build and scale intelligent automation solutions, quantify potential, ensure governance, and drive continuous improvement. | Agent | 5 |
| Sr Computer Scientist Senior JavaScript/TypeScript engineer to contribute to the Adobe Firefly client team, focusing on establishing Adobe as a leading creativity tools provider. The role involves architecting and maintaining the user-facing experience for AI/ML powered creative tools, with a focus on product-driven development and rapid iteration to deliver measurable impact to millions of creators. | — | 5 |
| Software Development Engineer 3 Software Development Engineer 3 at Adobe Express, focusing on developing components and services for web applications. The role involves applying AI techniques for component design, refactoring, task automation, and improving code quality, as well as using AI-assisted development tools for writing, testing, and debugging code. The position emphasizes integrating AI/ML capabilities into web applications and promoting responsible AI use. | Ship | 5 |
| Senior Data Engineer Senior Data Engineer at Adobe, responsible for building scalable data pipelines and applications that incorporate Generative AI and LLMs, blending structured and unstructured data. The role requires expertise in Spark, Databricks, Python, and SQL, with practical experience in AI/ML technologies and cloud platforms. | DataAgent | 5 |
| Principal Product Manager Principal Product Manager for Adobe Advertising, focusing on delivering self-service capabilities for advertisers by leveraging AI and marketing science. The role involves managing complex roadmaps, identifying performance improvements through API analysis, creating prototypes, ensuring feature adoption, and analyzing product usage data. Requires deep experience in digital advertising and product management, with hands-on skills in SQL and Python/R. | — | 5 |
| Software Quality Engineer - 4 Senior Lead Software Quality Engineer for Adobe Learning Manager team, responsible for owning QE delivery of product areas including AI-based features, from conception to production support. Requires strong technical expertise, leadership, and experience in test automation frameworks, performance testing, and QA processes. Familiarity with GenAI/Deep Learning testing is required. | — | 5 |
| Sr. Computer Scientist-I Lead iOS Mobile SDK Engineer at Adobe Experience Cloud, focusing on building architectural direction, influencing engineering standards, and driving AI-first innovation for enterprise customers. The role involves end-to-end system development, leading build and architecture reviews, and incorporating AI/ML capabilities into mobile SDKs to enable intelligent, adaptive experiences. | Ship | 5 |
| Computer Scientist-II This role focuses on architecting and leading the development of GenAI-first software solutions for enterprise customers, integrating Generative AI into product features and development workflows to deliver customer value at scale. It involves deep customer engagement, full-stack development, and mentorship. | Agent | 5 |