Sr Software Development Engineer

We are seeking a Software Engineer 4 (P40) to join Adobe's Document Cloud organization and help build the next generation of AI-powered document experiences. This role is heavily passionate about frontend engineering, developing highly scalable, performant, and intuitive user experiences that leverage Generative AI to transform how customers interact with documents.

Joining the team, you will design customer-facing experiences fueled by Large Language Models (LLMs), AI Assistants, AI Agents, conversational interfaces, intelligent document workflows, and content generation capabilities. You will be instrumental in bringing innovative AI experiences to Adobe Acrobat and Document Cloud products that impact millions of users around the world.

As a P40 engineer, you will own complex frontend initiatives from start to finish. You will influence architectural decisions and drive engineering excellence. You will also use modern AI-assisted development practices to speed innovation and increase customer impact.

• Compose, build, and deliver sophisticated frontend experiences using modern web technologies and frameworks.
• Lead the development of Generative AI-powered features that help customers summarize, build, understand, and interact with documents more effectively.
• Build intuitive user experiences for AI Assistants, conversational workflows, content generation powered by artificial intelligence, and intelligent document experiences within Adobe Document Cloud products.
• Own end-to-end delivery of complex customer-facing features-from architecture and implementation through testing, deployment, and monitoring.
• Drive frontend architecture that improves scalability, performance, reliability, maintainability, and accessibility.
• Develop reusable UI frameworks, component libraries, and build system integrations that accelerate product development.
• Partner closely with Product Management, Build, Research, and AI/ML teams to bring innovative AI capabilities to customers.
• Connect frontend applications to GenAI services, APIs, and cloud-based AI platforms.
• Employ AI-assisted development tools to boost engineering efficiency, code quality, and development velocity.
• Optimize applications for performance, accessibility, observability, and outstanding user experience.
• Diagnose and fix intricate problems across frontend applications, AI services, APIs, and distributed systems.
• Define frontend testing, quality, and monitoring strategies that ensure high customer trust and product reliability.

• Promotes frontend engineering quality throughout the team and supports wider Document Cloud engineering efforts.
• Influences the direction of customer-facing AI experiences through strong technical leadership and cross-functional collaboration.

• Leads innovation in Generative AI user experiences and introduces new interaction patterns that improve customer efficiency.
• Sees opportunities to apply AI capabilities to address real customer problems and boost engagement.

• Independently delivers large-scale frontend and data-powered initiatives with significant customer and business impact.
• Owns technical direction, execution quality, scalability, and long-term maintainability of key features.

• Builds frontend architecture and AI experience strategy aligned with product goals and customer needs.
• Contributes to platform-level capabilities that enable rapid development of future AI-powered experiences.

• Deep expertise in React, Type Script, JavaScript, HTML5, CSS3, and modern frontend frameworks.
• Strong experience building large-scale customer-facing web applications and frontend platforms.
• Experience architecting reusable component libraries, building systems, and modern UI frameworks.
• Strong understanding of frontend performance, rendering optimization, accessibility, and responsive build.
• Experience integrating applications with REST APIs, microservices, and cloud services.
• Hands-on experience building or integrating Generative AI, LLM-powered, conversational, agentic, or AI-assisted product experiences.
• Familiarity with timely engineering, AI application patterns, and emerging AI technologies.
• Proven ability to employ AI-powered development tools to advance software delivery and increase engineering output.
• Strong debugging, testing, quality engineering, and observability practices.
• Applies secure coding standards and modern software development guidelines.