Principal Scientist - Adobe Brand Intelligence

A dobe Brand Intelligence forms the basis of Content Supply Chain, helping enterprises develop, control, and enhance on-brand content at scale . Through the integration of enterprise context, extensive brand knowledge, and AI agents, ABI develops smart workflows that assist global brands in providing flawless and personalized customer experiences across all platforms. We are seeking an exceptionally qualified Principal Scientist to lead the software architecture for ABI. This is an outstanding opportunity for a seasoned software architect to build and scale large, distributed software platforms, transforming AI innovation into production-ready systems. Impact You’ll Make Define the long-term software architecture and technical vision for ABI. Build the foundational platform delivering AI capabilities consistently across Adobe applications, web experiences, and enterprise ecosystems. Drive architectural decisions for backend services, web applications, APIs, and platform infrastructure. Partner with the ML team to operationalize AI models into scalable, secure, enterprise-ready software systems. Direct engineering strategy across multiple teams while offering mentorship to senior engineers and technical leaders. What You’ll Do Define the comprehensive architecture for ABI, including backend services, frontend applications, SDKs, APIs, and integration systems. Architect and build highly scalable distributed systems with high availability, low latency, and operational resilience. Build scalable APIs and platform capabilities that enable seamless connection with Adobe Creative Cloud applications and other third-party platforms. Lead the development of modern web applications and shared frontend frameworks for Adobe Brand Intelligence experiences. Integrate AI capabilities into production through effective orchestration and enterprise-level APIs. Drive platform architecture across authentication, authorization, governance, observability, deployment automation, and performance optimization. Lead architecture reviews, define engineering standards, and promote contemporary software engineering methods. Support senior engineers and technical leads while encouraging a culture of engineering excellence and innovation. Collaborate with Product Management and UX teams to translate customer needs into scalable platform capabilities. Influence Adobe’s long-term platform strategy for intelligent enterprise content creation. What You’ll Bring 12+ years of experience building large-scale distributed software systems. Proven background in developing extensive software systems supporting millions of users or sizable enterprise clients. Significant experience in backend development using Java, Python, or comparable technologies, along with a solid grasp of distributed systems and cloud-native platforms. Experience building modern web applications using frontend frameworks such as React, TypeScript, or similar technologies. Proven experience building extensible APIs, SDKs, plug-in architectures, and integration frameworks. Experience integrating software platforms into desktop applications, web applications, SaaS platforms, or enterprise ecosystems. Solid knowledge of software architecture patterns, platform engineering, scalability, resiliency, observability, security, and operational excellence. Experience working closely with Machine Learning and Applied AI teams to incorporate AI features into enterprise software products. Demonstrated skill in guiding technical direction across multiple engineering teams. Excellent communication skills to explain complex architectural concepts to engineers, product leaders, and executives.

Experience developing AI-native enterprise software platforms. Experience with LLM application architectures, RAG, AI orchestration frameworks, MCP, agentic systems, or intelligent workflow platforms. Experience building integrations for Adobe Creative Cloud applications,