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.

Technical Architect for Adobe Consulting's Brand Concierge Solution, a NextGen Conversational Agent. This hands-on role involves designing, building, and deploying production-grade agentic AI systems, owning end-to-end solution architecture, and leading delivery teams. Responsibilities include prototyping, code review, selecting LLMs and embedding strategies, and managing non-functional requirements like latency and cost optimization.

This role focuses on designing and building AI agents that automate and augment end-to-end workflows, transforming creative and enterprise processes. The engineer will translate business problems into AI-driven solutions, develop ROI models, and prototype/iterate with users, partnering across teams to scale solutions. Experience building AI agents, copilots, or LLM-powered systems, strong systems thinking, and a commercial mindset are key requirements.

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.

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.

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.

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.

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.

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.

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.

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.