Adobe

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

Software Engineer role focused on developing features for Adobe Express, a Windows desktop photo editing application. The role involves building high-performance features in a complex, multi-process architecture, with a significant emphasis on leveraging AI tools for development velocity, building agentic workflows for SDLC, and integrating AI capabilities into product features while ensuring reliability and performance.

Frontend engineer with 4+ years of experience, comfortable working across the stack, developing responsive and scalable user interfaces, and supporting backend service deployment. Requires working knowledge of agentic engineering tools and practices, including AI-assisted development tools, prompt engineering for code generation, and integrating LLM-based APIs or agent frameworks into frontend applications.

This role focuses on leveraging AI, automation, and LLMs to drive operational excellence within a design organization. The Senior Design Program Manager will partner with design leaders to transform operational challenges into agentic solutions, architecting automated systems to minimize administrative tasks and streamline workflows. The role requires hands-on experience with AI tools, automation, agentic configurations, LLMs, prompt engineering, and API integration using orchestration tools.

Quality Engineering Lead for Adobe Express Photos (Windows app) focusing on driving quality strategy, automation, and AI-driven testing frameworks. The role involves architecting scalable quality systems, building agentic AI frameworks for testing and defect detection, and ensuring stability across complex Windows environments.