Adobe

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.

Senior Product Manager for an agentic, AI-first enterprise workflow platform runtime and extensibility foundation. The role focuses on defining the execution model, developer surface area, governance guardrails, and roadmap for production adoption at enterprise scale. Key responsibilities include owning the product strategy for orchestration, execution semantics, state, scaling, reliability, and operability, as well as the end-to-end extensibility platform for custom actions. The role also involves defining agentic runtime primitives and building the trust layer for AI-first execution, ensuring enterprise-grade compliance, auditing, tenancy, and secure execution.

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.

Director of Product Management for Adobe Brand Concierge, an enterprise GenAI product focused on optimizing customer and business buyer interactions with brands online. The role involves driving product strategy, defining requirements, partnering with engineering and design, engaging with enterprise clients, and representing the product externally. Requires leadership experience in developing net new AI-first offerings and a deep understanding of the Generative AI market.

Principal Product Manager to shape how AI-powered creative workflows integrate with Adobe's collaboration platform, focusing on enabling third-party AI integrations and building next-generation workflow solutions for AI-assisted creative work.

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.

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.

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.

Director of Product Management to lead typography into the era of generative and AI-assisted design. This role will define the product vision for typography integrated with Adobe Firefly and Creative Cloud, lead a team of Product Managers, and champion creators by balancing AI assistance with typographic quality and user intent.

Principal Product Manager for Enterprise-focused generative AI, focusing on multimodal models (imaging, video, audio) for content production. Responsibilities include strategy, roadmap, customer engagement, and translating research into production-ready solutions with a focus on quality, customization, and governance.

Senior Product Manager for Adobe's Brands AI system, focusing on driving adoption within large enterprises, ensuring brand fidelity and governance, and scaling AI-powered creative asset production. The role involves defining business outcomes, prioritizing use cases, integrating AI into existing workflows, leading change management, and collaborating with technical teams for deployment and value measurement.

This role is for a Principal Strategic Program Manager at Adobe, focusing on leading and orchestrating large-scale Generative AI programs. The role involves defining strategy, roadmaps, and execution for AI initiatives, including model development, infrastructure, safety, evaluation, and product integration. It requires deep understanding of AI/ML systems and experience in enterprise-grade environments with security and compliance requirements.

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.

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.

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.

AI Product Manager role focused on co-innovating and launching generative AI solutions with enterprise customers, bridging customer needs with product strategy and engineering.

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 Product Management for Adobe's Experience Manager Sites and Forms, focusing on personalization at scale and leading the product strategy for Brand Concierge, a conversational brand ambassador. The role involves evolving product strategy, ensuring technical execution, collaborating with other product teams, and establishing customer and partner relationships. Requires deep product management expertise, innovative thinking, understanding of generative AI and content delivery, and a record of implementing AI/ML capabilities, preferably in creative or marketing tooling.