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.

Senior AI Artist role focused on creating social media content using generative image and video models, requiring strong visual design skills and proficiency in AI tools like Adobe Firefly. The role involves independently driving creative projects from concept to delivery, selecting appropriate AI models, refining outputs, and evaluating emerging tools.

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.

This role focuses on the end-to-end development and launch of GenAI applications by integrating Adobe and third-party generative models. The engineer will embed with customer teams to build proof points rapidly, co-develop features, and bridge field-proven use cases back to the product roadmap. The role involves full-stack development, rapid prototyping, and scaling solutions with CI/CD pipelines and governance checks.

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.

Product Security Engineer at Adobe focused on testing AI/ML and LLM-powered products. Responsibilities include reviewing AI-related penetration testing and bug bounty submissions, defining AI testing scope, driving resolution of security issues, building Security Testing reports, and communicating with external researchers. Requires strong application security knowledge, LLM testing methodologies, and hands-on experience in penetration testing AI/ML products.

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.

Product Manager role focused on building Agentic AI workflows for Adobe's Go-To-Market (GTM) and Sales teams. This involves defining product vision and strategy for Planning Agents, Campaign Orchestration Agents, and Seller Productivity AI Assistants. The role requires experience with LLM and agentic architectures, prompt design, RAG, tool calling, and evaluation, with a strong emphasis on a builder mentality and delivering zero-to-one products.

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.

Lead Product Management for Firefly Boards, a collaborative AI-first creative workspace for ideation, planning, and alignment. This role defines product vision, strategy, and roadmap, integrating AI generation and organization tools into creative workflows and connecting with downstream Adobe tools.

Director of Product Design for Adobe GenStudio, focusing on defining and expanding GenAI-powered creative, marketing, and automation workflows for enterprise customers. The role involves leading a design team, driving strategy, and collaborating with research, product, and engineering executives to create end-to-end experiences.