Adobe

This role leads an enterprise function focused on transforming how sales and operations teams use data, analytics, and technology, with an AI-first approach. It involves defining and executing an AI-first analytics ecosystem, modernizing data platforms, and scaling technology operations to drive growth and better decision-making. Key responsibilities include shifting from static reporting to AI-powered decision intelligence, embedding advanced analytics and AI into business workflows, and transforming technology support operations through intelligent automation and conversational AI.

Seeking a Principal Architect to lead the architecture of AI-enabled customer experience platforms, focusing on integrating AI capabilities like RAG, GenAI, and agentic automation into support and sales processes. The role involves defining reference architectures, guardrails, and ensuring alignment across multiple initiatives and teams, with a vendor-agnostic approach.

This role focuses on architecting and designing enterprise solutions that leverage generative and agentic AI, specifically Adobe's Firefly Enterprise Solutions. The architect will lead technical discovery, design scalable solutions integrating AI into customer workflows, build prototypes, and create technical roadmaps. The role also involves developing reusable assets, collaborating with product teams, and staying at the forefront of AI trends to advise customers and shape Adobe's technical positioning. The primary focus is on applying AI to enterprise workflows and content creation at scale.

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.

Software Engineer to develop, build, and scale core GenAI services, evaluation frameworks, and agentic capabilities. This role focuses on building shared GenAI core services (Voice, Evaluation, Moderation, AI-powered bug triage) and enabling world-ready GenAI features and agents by embedding internationalization and global quality requirements. The role also involves supporting the modernization and stability of the Continuous Localization (CL) platform and developing CL workflows for LLM-based development.

Senior Technical Consultant for Adobe Workfront, focusing on designing and implementing AI-driven automation and content supply chain solutions for enterprise customers. The role involves integrating Workfront with other enterprise systems, architecting AI-augmented workflows using agentic frameworks, and guiding clients through complex integration needs.

Senior Software Engineer to design, build, and scale core GenAI services, evaluation frameworks, and agentic capabilities for Adobe's Experience Cloud. The role involves GenAI platform engineering, developer enablement, and global readiness, with ownership of architecture and cross-team impact.

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.

Director of Engineering for Adobe's Graph platform, a node-based creative system powering generative AI workflows and multimodal media pipelines. The role involves leading the engineering team to build both a creator-facing application and a platform layer, including the execution engine, stateful workflow composition, and integration of GenAI models.

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.

Full stack engineer for Adobe's Firefly Boards team, focusing on building and scaling an AI-powered mood-boarding and ideation app that leverages multi-modal LLMs to provide a non-linear canvas for creative professionals. The role involves developing innovative user experiences and integrating generative AI capabilities.

Senior AI Platform Engineer focused on building the foundational infrastructure for AI, analytics, and autonomous agents at scale. The role involves designing and building streaming-first data pipelines, extending the ML Attribute Store with low-latency serving, developing Agent Data APIs and tool servers for autonomous AI agents, and creating an agentic framework for automation and self-healing pipelines. Experience with LLM integration, agentic AI frameworks, and cloud platforms is required.

Director, Product Marketing for Adobe's ProDesign products, focusing on defining and driving the go-to-market strategy for AI and Agentic products within the creative tooling space. Requires experience launching and scaling AI products, understanding the design industry, and leading cross-functional teams.

This role focuses on architecting and designing generative and agentic AI solutions for enterprise workflows, acting as a technical anchor in the pre-sales process. The Principal Enterprise Solutions Architect will translate GenAI vision into implementable realities, design AI-enabled automation workflows, and contribute to customer-specific technical roadmaps and broader system architectures. The role involves collaborating with internal teams, sales, and customers to ensure successful integration and adoption of AI technologies, particularly Adobe Firefly Enterprise Solutions, within enterprise creative and marketing operations.

This role is for a Principal Technical Program Manager focused on Agentic AI within Adobe Express. The primary responsibility is to lead strategic efforts that embed AI into product functionalities and internal development operations, driving efficiency and scalability through AI-enabled workflows, automation, and decision-making. The role involves translating AI capabilities into practical applications, improving team velocity and quality, and championing AI adoption across diverse teams.

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.

Senior Product Manager to develop an agentic platform strategy, enabling third-party AI integrations and establishing measurement frameworks for AI-native features. The role requires technical strategy to adapt the platform for agentic needs and align leadership on strategy and roadmap.

Software Engineer to join the Cloud Tooling Development team, designing and building self-service tools and platforms for Cloud and AI enablement. The role involves integrating AI and agentic capabilities into features, abstracting complexity, and enabling cloud/AI access across hyper-scalers and AI platforms. Requires experience with full-stack development, cloud infrastructure, AI stack (LLMs, agents, frameworks like LangGraph), and observability tools.

This role leads a Digital Accelerator CoE focused on driving AI-first and Agentic AI-led transformation across a global organization. The leader will operationalize the CoE vision by building reusable IP, accelerators, and delivery frameworks to ensure measurable customer value, faster implementations, and improved ROI. Key responsibilities include defining strategy, driving Agentic AI use cases, managing reusable assets, establishing a knowledge platform, standardizing delivery, tracking adoption and business outcomes, leading upskilling initiatives, and partnering with stakeholders.

This role focuses on pre-sales technical engagements for Adobe Firefly and generative AI technologies, helping enterprise customers design and implement creative workflows, integrate APIs, and advise on ethical AI practices. It involves leading GenAI demystification, redesigning production workflows, integrating APIs with enterprise platforms, developing proofs-of-concept, and advising on governance and security.

This role focuses on engaging with and educating the AI community about Adobe's AI initiatives, developing content, fostering relationships with industry experts, and informing internal strategy. The role requires strong communication, technical expertise in AI, and community engagement.

Senior Solution Architect for Adobe Firefly Enterprise Solutions in EMEA, focusing on designing and architecting generative and agentic AI solutions for enterprise workflows. The role involves leading technical discovery, building prototypes, and creating reference architectures to integrate AI into customer creative and marketing processes, acting as a technical anchor in the pre-sales motion.

This role focuses on building and maintaining context pipelines for LLMs in an enterprise setting, aiming to improve employee productivity and experience. It involves designing systems that assemble instructions, frameworks, standards, tools, and memory for accurate and safe model responses at scale.

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.

Software Development Engineer to build cloud services integrating AI/ML and generative AI for Adobe's AEM Sites Optimizer and LLM Optimizer product. The role involves analyzing data, automating hypotheses into self-learning AI-first software, designing prompt engineering strategies, and utilizing RAG.

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.

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 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.

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.

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.

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.