Adobe

Senior Application Engineer for Photoshop, focusing on integrating GenAI and AI/ML experiences into the product. This role involves developing and shipping AI-powered features, bridging research prototypes to production, and improving engineering workflows with AI tools. Requires strong C++ development skills, understanding of AI/ML and computer vision, and experience shipping AI-driven features.

This role focuses on building and scaling security controls and governance frameworks for AI/ML and agentic systems within an enterprise. It involves defining policies, implementing technical controls, establishing guardrails, managing access, and performing threat modeling to mitigate risks associated with AI. The role also ensures alignment with regulatory frameworks and supports audits.

Senior Director of Engineering to lead vision, strategy, and execution of Growth Apps for Customer Experience Services (CES). This role will shape and scale enterprise-grade AI applications, focusing on customer interaction with intelligence-driven interfaces and workflows. The position involves leading a team to build repeatable systems that drive adoption, retention, and expansion at enterprise scale, bridging core platforms and go-to-market motions.

This role is for a Manager of Applied Research focused on leading and growing a team responsible for training data for Adobe's enterprise generative AI service, Firefly Foundry. The responsibilities include defining and executing strategy for acquiring, processing, curating, annotating, versioning, and ensuring the quality of large-scale datasets, building scalable data pipelines, and collaborating with researchers and ML engineers. The role requires strong leadership, deep understanding of ML data lifecycles for generative models, and expertise in cloud data technologies.

Director of Engineering Program Management focused on AI Platforms and Globalization. This role leads program managers in executing complex, cross-functional localization programs, enabling international product releases. A key focus is improving efficiency and governance through AI-enabled program management practices, embedding AI into core products and internal workflows, and evolving traditional systems into AI-enabled, autonomous, and scalable architectures. The role involves managing a significant outsourcing budget and driving product ownership for Adobe's AI-powered globalization platform.

This role focuses on building agent-based automation and autonomous AI systems, specifically LLM agents and multi-agent orchestration, for data integration and workflow automation within an enterprise customer solutions context. It involves significant data engineering work to prepare and integrate customer data sources with Adobe solutions, leveraging AWS AI/ML and agentic services.

Full-stack engineer to build next-generation AI-first products, integrating AI systems into scalable experiences. Combines UI expertise with full-stack engineering for seamless integration of AI services into Adobe products.

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.

Senior Applied Machine Learning Engineer to design and deliver intelligent typographic features across Adobe's creative products, simplifying decisions and workflows for millions of users. This role involves applying advanced modeling to design, train, debug, and operationalize ML systems for layout, generative styling, and design intelligence, owning the modeling lifecycle end-to-end and integrating models into hybrid product architectures.

Senior Software Engineer to design and build backend services and APIs for Adobe's Experience League platform, evolving it into a GenAI-first Knowledge Services offering. The role focuses on creating scalable, governed knowledge access patterns for downstream consumers like AI agents and assistants, replacing ad-hoc methods with structured knowledge representations and supporting agentic workflows.

Senior Software Engineer focused on building agentic systems for Adobe Experience Platform's Generative AI capabilities, involving design, implementation, monitoring, and scaling of services that power audience creation, journey optimization, and personalization.

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.

Senior Machine Learning Services Engineer at Adobe to productionize AI and Generative AI capabilities into Adobe's creative products. The role focuses on building and optimizing backend cloud services for ML inference, including GPU acceleration, quantization, and other optimization techniques. It involves integrating new models, maintaining CI/CD pipelines, and ensuring production standards for observability and reliability.

Lead Customer Facing Applied AI Engineer at Adobe responsible for implementing AI integration patterns, creating reusable SDKs, acting as a data analyst for model behavior, designing evaluation pipelines, instrumenting AI features with observability, and designing/implementing AI-backed services. The role involves deep technical work and on-site collaboration with global industry leaders to ensure they extract maximum value from Adobe's AI capabilities.

ML Ops Engineer role focused on operational reliability, scalability, and performance of AI systems, including LLM agents and RAG systems. Responsibilities include managing the model lifecycle, implementing monitoring and observability, developing CI/CD pipelines for AI, automating infrastructure, managing data pipelines, optimizing AI stack performance, incident response, and ensuring compliance. Requires experience in MLOps, DevOps, ML platform engineering, cloud infrastructure, Kubernetes, IaC, ML model serving tools, and Python. Preferred experience with LLM applications, RAG, AI agent orchestration, and vector databases.

This role is for a Principal Engineering Program Manager focused on Generative AI within Adobe's Document Cloud. The primary responsibility is to drive feature development from ideation to implementation by fostering collaboration, managing programs through their full lifecycle, and ensuring smooth execution of GenAI initiatives. The role requires a deep understanding of GenAI core technologies and experience leading complex technical programs.

Director of Machine Learning Engineering to lead a team in evolving a data platform to support AI/ML innovation, focusing on big-data management and compute abstractions within a governed trust framework.

Machine Learning Engineer at Adobe focused on building and scaling data products and AI/ML solutions for enterprise customers, involving the full lifecycle of model development, deployment, and maintenance.

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.

This role focuses on building AI/ML solutions and agent coordination systems within Adobe Experience Platform, leveraging LLM and ML technologies for enterprise customers. The engineer will architect, implement, and optimize agent-based systems, focusing on reliability, scalability, and performance, while also contributing to platform development and innovation in agent orchestration.

This internship focuses on building LLM-powered solutions for marketing efficiency using generative AI, agentic workflows, and RAG. The role involves designing, developing, and integrating these AI systems into marketing applications, collaborating with cross-functional teams, and staying updated on LLM trends. Requires experience with RAG, autonomous workflows, and multi-agent systems.

Senior Software Engineer to build and evolve the platform foundation for Adobe web applications, focusing on developer experience through intelligent tooling and AI-enabled systems. The role involves improving build systems, CI/CD, and introducing AI-assisted capabilities for code generation, testing, and debugging.

Senior Software Development Engineer at Adobe in Tokyo, focused on building next-generation digital experiences for the Japanese market by integrating generative AI into Creative Cloud and Document Cloud products. The role involves designing, building, and maintaining software, integrating AI capabilities like text processing and content generation, and prototyping advanced AI techniques such as fine-tuning and RAG for Japan-specific use cases.

Senior Prompt Engineer at Adobe focused on enhancing LLM performance for enterprise use cases, designing multi-step agent workflows, implementing function calling and tool use, and optimizing prompts for accuracy, privacy, and compliance. The role involves collaboration with AI engineers and product teams to integrate prompts into production agent systems.

Senior Information Retrieval Engineer focused on building and deploying scalable RAG pipelines and semantic search systems to power context-aware LLMs for enterprise AI applications. This role involves data processing, ingestion, retrieval optimization, and performance monitoring.

Software Development Engineer to build and launch a new product within Adobe, focusing on a platform for enterprise brands and creators to collaborate on influencer marketing. A core part of the platform will involve Agentic AI systems to streamline workflows, integrating LLM-powered services and processes. The role involves full-stack development, backend services, AI-powered features, and scalable data pipelines.

Software Development Engineer to build and launch a new AI-native platform for enterprise influencer marketing, integrating agentic AI systems and LLM-powered services for workflow automation and optimization.

Tech Lead/Architect to build and launch a new enterprise platform for influencer marketing campaigns, leveraging Agentic AI systems and LLM-powered agents. The role involves defining architecture, ensuring scalability, reliability, and security, and building evaluation frameworks, observability, and trust mechanisms for AI-native systems.

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.

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.

Engineering Manager for Adobe Express in Bucharest, Romania, responsible for leading a team of engineers developing AI/ML-powered features and driving AI adoption across teams. The role involves managing feature development, collaborating with cross-functional teams, determining technical requirements, and promoting innovation. Key responsibilities include hands-on AI/ML experience, driving AI adoption beyond a single team, establishing success metrics, and contributing to governance practices for safe and scalable AI usage.

Research Engineer focused on optimizing the resource consumption of large-scale generative AI models for cloud and on-device deployment, bridging cutting-edge research with product development.

Seeking an Information Retrieval Engineer to lead the development and optimization of retrieval systems for context-aware large language models (LLMs). This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to relevant information, working at the intersection of data engineering, machine learning, and knowledge management.

Manager for Advanced Analytics and Reporting at Adobe, leading a team to build intelligent tools, reports, dashboards, workflows, and ML/AI pipelines for the Digital Experience business. The role involves technical leadership, people management, and delivering data products focused on customer adoption, retention, and value realization. Responsibilities include overseeing ML/AI workflow design and deployment, predictive models, and LLM-powered agents to automate insights and deliver customer intelligence.

This role focuses on building and scaling intelligent analytics solutions, including predictive models and LLM-powered agents, to drive customer success metrics within Adobe's Customer Solutions organization. It involves data engineering, advanced analytics, and AI/ML model deployment in a production environment.

Director of Data Science & Engineering to build the data foundation, KPI frameworks, and predictive intelligence for Adobe's Experience Platform (AEP) Product Success Engineering team. This role involves leading a multidisciplinary team to architect scalable data systems, develop predictive models, and enable data-driven decision-making, focusing on customer adoption, health, and platform performance.

Software Development Engineer to join an innovative team at Adobe, focusing on crafting new generative AI powered tools for productivity and collaboration. The role involves addressing complex design obstacles, building reusable and scalable code, and driving product-driven development for rapid iteration and measurable impact. Experience with generative AI applications, especially AI Agents, is required.

Senior Engineering Manager for Adobe Firefly, leading a team to deliver AI-powered creative experiences, focusing on product innovation, generative AI integration, and commercialization. The role involves driving end-to-end product execution, defining roadmap priorities, owning technical strategy for AI capabilities, and ensuring performance, scalability, and reliability.

Senior Software Engineer to build the platform powering Adobe Experience Platform's Generative AI capabilities, focusing on audience creation, journey optimization, and personalization at scale. The role involves architecting, designing, and building highly available, scalable services with comprehensive monitoring and alerting, working in multi-functional teams within the ML space.

This role involves building and shipping features and integrations for enterprise customers, with a focus on experimenting with Generative AI and agentic workflows to create novel demos and automation tools. The engineer will write production-grade Java/Scala code, troubleshoot integration issues, and collaborate with architects and product teams. Familiarity with LLM development, prompt engineering, and agentic frameworks like LangChain is required, with RAG knowledge being a plus.

Software Developer Engineer 4 at Adobe to join the team building Adobe’s next-generation AI-first marketing application. This platform is redefining customer engagement workflows with speed, agility, and full-stack productivity for modern marketers. The role involves developing and deploying critical components of a new Agentic App, translating product goals into engineering tasks, evaluating tools, writing clean code, and collaborating cross-functionally. Requires 4-6 years of experience, strong CS fundamentals, expertise in Java/Scala, and familiarity with cloud-native architectures and CI/CD. Experience with Campaign Execution systems and Generative AI is a plus.

Senior Director of Engineering for Mixed Media Authoring at Adobe Express, leading the engineering vision and execution for combining text, images, graphics, motion, and generative AI into multimedia content. The role involves advancing core authoring capabilities, embedding AI innovation, and scaling a world-class engineering organization to deliver intuitive tools, resilient platforms, and new creative possibilities for millions of creators worldwide.

Senior Software Engineer role focused on architecting and scaling distributed systems for Adobe's Real-Time Customer Data Platform (RTCDP). The role involves integrating Generative AI/ML for personalization, building low-latency data pipelines, and developing cloud-native microservices. Emphasis on real-time data processing, identity resolution, and customer profiles at massive scale.

Senior Software Development Engineer to join the Adobe Agent Orchestrator Platform team in Bucharest. The role focuses on engineering reusable components, optimizing agent workflows, and ensuring real-world performance in production environments for agentic AI systems. Responsibilities include designing and developing the next generation of the platform, architecting agent coordination systems, and innovating in agent orchestration and distributed coordination.

Senior Product Quality Engineer for Adobe's Android mobile video creation and editing team. The role focuses on ensuring features work as expected from a user's perspective, validating workflows, and using AI-assisted and agentic tooling to enhance test coverage and identify edge cases. The engineer will own quality from design to release, collaborate with cross-functional teams, and contribute to continuous quality improvement.

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.

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.